SlideShare a Scribd company logo
1 of 25
Download to read offline
Presented by
S. Sivagowry
Research scholar
Bharathidasan university,
Trichy
Under the Guidance of
Dr. M.Durai Raj,
Assistant Professor
School of Computer Science and Engineering,
Bharathidasan University,
Trichy
Data Mining
• Exploration of large data sets to extract hidden and
previously unknown pattern, etc.,
• Two tasks:
Predictive Tasks
Descriptive Tasks
• Predictive tasks
predict the value of specific attribute based on other
attribute
Classification, Regression and Deviation Deduction
ContD..
• Descriptive Tasks
– Derive pattern that summarize the relationship between data
– Clustering, Association rule Mining and Sequential Pattern
Discovery
• Steps in Data Mining
Data Cleaning, Data Integration, Data Selection, Data
transformation, Data Mining, Pattern Evaluation and
Knowledge Representation
ContD..
Medical Data mining
Involves lot of accuracy and uncertainty
Quality service at affordable cost is a major challenge
Data is massive
Decision based on doctor’s experience may fail in some
cases
Data Mining in health care – an intelligent diagnostic tool
Heart Disease
29.2% of death is due to Cardio Vascular Disease
CVD – leading cause for death in developing countries.
Data sets
ContD…
Collected from University of California, Irvine (UCI).
Cleveland data set, Hungary data set, Switzerland data
set, Long beach and statlog data set
76 attributes
14 are used
Data Mining techniques in heart Disease PreDiction
Clustering
Classification
Regression
Association Rule Mining
Data Mining anD association rules
 Carlos Ordonez and et. Al.,[7] used a simple mapping
algorithm.
 Treats numerical or categorical attributes as uniform.
 Decision tree is incapable – it automatically split
numerical value. (Medical data are in numerical format )
 Interpreting experimental result by D.T is difficult
 Clustering medical data deserves further research
 Justify the use of A.R in Medical data
contD…Deepika [11] used Pruning Classification Association
Rule (PCAR).
PCAR comes from Apriori algorithm.
Deletes minimum frequency item with minimum
frequency item sets.
Deletes infrequent item from item sets.
Classifies item based on frequency of item sets and
discovers frequent item sets.
Data Mining anD classification
Usha Rani[38], used ANN in heart disease using feed
forward and back propagation algorithm.
Experiment by single and multi layered neural network
models.
Parallelism is implemented to speed up learning process.
Neural network provides satisfactory results
contD….
In [3], Classification is based on Supervised machine
learning Algorithm.
Tanagara tool is used to classify data
Evaluation by using 10 fold cross validation.
The performance is analysed based on accuracy and time
taken to build the model.
Naïve bayes is the better algorithm
The table below shows the perfomance study of algorithm
contD..Algorithm used Accuracy Time taken
Naïve bayes 52.33% 609ms
Decision List 52% 719ms
KNN 45.67% 1000MS
contD..
In [24], novel neuro fuzzy techniques is used.
Preprocess by using Genetic Algorithm(GA).
A four layered fuzzy neural network is used.
Radial Basic Function neural network is constructed with
5 input, training and normalization in hidden layer and
output layer with 1 node.
In [25], Intelligent Heart Disease Prediction System
(IHDPS )is proposed using Decision Tree, NB and Neural
network.
NB is the most effective one.
Contd..
In [1], GA is used to determine the number of attributes.
NB, D.T., Classification by Clustering are compared.
DT takes more time to build the model.
NB performs consistently before and after reduction
of attributes.
CVC is poor in performance
Contd..
In [30], k-means clustering algorithm is used.
Maximal Frequent Item Set Algorithm (MAFIA) is used.
Multilayer perception network and back propagation algorithm is used as
training algorithm.
 Pseudo code for MAFIA [29]:
MAFIA(C, MFI, Boolean IsHUT) {
name HUT = C.head C.tail;
if HUT is in MFI
stop generation of children and return
Count all children, use PEP to trim the tail, and recorder by increasing support,
For each item i in C, trimmed_tail {
IsHUT = whether i is the first item in the tail
newNode = C I
MAFIA (newNode, MFI, IsHUT)}
if (IsHUT and all extensions are frequent)
Stop search and go back up subtree
If (C is a leaf and C.head is not in MFI)
Add C.head to MFI
}
Contd…
In [35], Naïve Bayes is used for predicting Decision Support in heart
disease prediction System.
NB is found to be best in heart disease prediction.
It can be used as a tool for training nurses and medical students for
diagnosing.
It provides new ways of understanding and exploring the data.
In [6], NB Classification can be used as a best decision support system.
In [10], hybridization is used to train the neural network using GA. Feed
forward and Back propagation is used as a learning algorithm.
When two more attributes are added with existing attributes, Neural
Network shows better performance in both the cases.
Contd..
RIPPER, SVM, Decision Tree and ANN are compared
based on Sensitivity, Specificity, Accuracy, Error Rate,
TP AND FP Rate. [20]
SVM predicts with least error rate and higher
accuracy.
DM with Fuzzy Logic reduces the number of attributes
and number of tests for the patients.[21]
data Mining and
Clustering
K-means clustering algorithm is used for the prediction of the
heart disease[4].
Euclidean distance formula is used
NB is slow and Neural network takes number of iterations.
Performance of clustering and classification algorithm is
compared [28].
NB predicts with highest accuracy than Clustering Algorithm.
ConClusion
Classification task plays a vital role when compared with
Clustering, Association Rule and Regression.
In Classification, each techniques has its own merits and
demerits.
Reduction of attributes is considered.
Hybridization of Classification with Fuzzy Logic can predict
with highest accuracy.
reFerenCes
1. Anbarasi.M, Anupriya and Iyengar “Enhanced Prediction of Heart Disease with Feature Subset Selection using
Genetic Algorithm”, International Journal of Engineering and Technology, Vol 2(10), 2010, pp 5370-5376.
2. Annoj P.K.,” Clinical decision support system: Risk level prediction of heart disease using Data Mining
Algorithms”, Journal of King Saud University- Computer and Information Sciences, 2012,pp 27-40.
3. Asha Rajkumar and Mrs. Sophia Reena, “ Diagnosis of Heart Disease using Data Mining Algorithms, Global
Journal of Computer Science and Technology, vol. 10(10), 2010, pp 38-43.
4. Bala Sundar V, “Development of Data Clustering Algorithm for predicting Heart”, IJCA, Vol 48(7), June 2012,
pp 8-13.
5. Bhagyashree Ambulkar and Vaishali Borkar “Data Mining in Cloud Computing”, MPGINMC, Recent Trends in
Computing, ISSN 0975-8887,2012, pp 23-26.
6. Bhuvaneswari. R, “Naïve Bayesian Classification Approach in Health Care Application”, International Journal
of Computer Science and Telecommunication, vol 3(1), Jan 2012, pp 106-112.
7. Carlos Ordonez, Edward Omincenski and Levien de Braal “Mining Constraint Association Rules to Predict Heart
Disease”, Proceeding of 2001, IEEE International Conference of Data Mining, IEEE Computer Society, ISBN-0-
7695-1119-8, 2001, pp: 433-440.
8. Cengiz colak.M , Cemiz colak and Hasan Kocatruk “Predicting coronary artery disease using different artificial
neural network models”, CAD and Artificial neural network, pp 249-254, 2008.
9. Chaltrali S. Dangare and Sulabha, “Improved Study of Heart Disease Prediction System using Data Mining
Classification Techniques”, IJCA, Vol 47(10), pp 44-48, June 2012.
10. Chen A.H., “HDPS: Heart Disease Prediction System”, Computing in Cardiology, ISSN 0276-6574, pp 557-560,
2011.
11. Deepika. N, “Association Rule for Classification of Heart Attack patients”, IJAEST, Vol 11(2), pp 253-
257, 2011.
12. Jabbar M.A., “Knowledge discovery from mining association rules for Heart disease Prediction”,
JATIT, Vol 41(2), pp 166-174, 2012.
13. Jyothi Soni, Uzma ansari and Dipesh Ansari “Intelligent and Effective Heart Disease Prediction System
using Weighted Associate Classifer”, IJCSE, Vol 3(6), pp 2385-2392, June 2011.
14. K.Rajeswari, “Prediction of Risk Score for Heart Disease in India using Machine Intelligence”,IPCSIT,
Vol 4, 2011.
15. Kavitha K.S, “Modeling and designing of evolutionary neural network for heart disease prediction”,
IJCSI, Vol 7(5), pp 272-283, September 2010.
16. Latha Parthiban and R.Subramanian, “Intelligent Heart Disease Prediction System using CANFIS and
Genetic Algorithm”, International Journal of Biological and Life Sciences, Vol 3(3), pp157-160,2007.
17. Liangxiao. J, Harry.Z, Zhihua.C and Jiang.S “One Dependency Augmented Naïve Bayes”, ADMA, pp
186-194, 2005.
18. Mia Shouman, “Using data mining techniques in heart disease diagnosis and treatment”, 978-1-4673-
0483-2, Japan-Egypt Conference on Electronics, Communications and Computers, pp 189-193, 2012.
19. Milan Kumari and Sunila Godara, “Review of Data Mining Classification Model in Cardio Vascular
Disease diagnosis”, IJCA, 2011.
20. Milan Kumari and Sunila Godara, “Comparative Study of Data Mining Classification Methods in
Cardio-Vascular Disease Prediction”, IJCST, Vol 2(2), June 2011.
21. Nidhi Bhatia and Kiran Jyothi, “A Novel Approach for heart disease diagnosis using Data Mining and Fuzzy
logic”, IJCA, Vol 54(17), pp 16-21, September 2012.
22. Nithya N.S, Sarumathi. S and Dr. Duraisamy. K “ Assessment of the risk factors of Heart Attack using frequent
feature Selection Method”, International Journal of Communications and Enggineering, Vol 1(1), ISSN 0988-
0382, pp 127-133, March 2012.
23. Qeethara Kadhim Al. Shayea, “Artificial neural network in Medical Diagnosis”, IJCSI, Vol 3(2), March 2011.
24. R. Setthukkarase and Kannan “An Intelligent System for mining Temporal rules in Clinical database using Fuzzy
neural network”,European Journal of Scientific Research, ISSN 1450-216, Vol 70(3), pp 386-395, 2012.
25. Rafiah Awang and Palaniappan. S “Intelligent Heart Disease Prediction System Using Data Mining techniques”,
IJCSNS, Vol 8(8), pp 343-350, Aug 2008.
26. Rafiah Awang and Palaniappan. S “Web based Heart Disease Decision Support System using Data Mining
Classification Modeling techniques” , Proceedings of iiWAS, pp 177-187, 2007.
27. Raghu. D.Dr, “Probability Based Heart Disease Prediction using Data Mining Techniques”, IJCST, Vol 2(4), pp
66-68, Dec 2011.
28. Santhi. P, “Improving the performance of Data Mining Algorithm in Health Care data”, IJCST, Vol 2(3), 2011.
29. Setiawan N.A, “ Rule Selection for Coronary Artery Disease Diagnosis Based on Rough Set” ,International
Journal of Recent Trends in Engineering, Vol 2(5), pp 198-202, Dec 2009.
30. Shantakumar B.Patil, “Intelligent and Effective Heart Attack Prediction System using Data Mining and Artifical
Neural Network”, European Journal of Scientific Research, Vol 31(4), pp 642-656, 2009.
31. Shanthakumar B. Patil, “Extraction of Significant patterns from Heart Disease Ware Houses for Heart
Attack Prediction”, IJCSNS, Vol 9(2), pp 228-235, Feb 2009.
32. Shouman.M, Turner.T and Stocker.R, “Applying K-Nearest Neighbour in diagnosing Heart Disease
Patients”, International Journal of Information and Education Technology, Vol 2(3), June 2012.
33. Siri Krishnan Wasan, Vasutha Bhatnagar and Harleen Kaur “The Impact of Data Mining techniques on
medical diagnostics”, Data Science Journal, Vol 5(19), pp 119-126, October 2006.
34. Srinivas, Kavitha Rani and Dr. Govarthan, “Application of Data Mining Techniques in Health Care and
Prediction of Heart Attack”, IJCSE, Vol 2(2), pp 250-255, 2010.
35. Subbulakshmi, Ramesh and Chinna Rao “Decision Support in Heart Disease Prediction System using
Naïve Bayes”, IJCSE, ISSN 0976-5166, Vol 2(2), May 2011.
36. Sudha.A, Gayathri.p and Jaishankar. N “Utilization of Data Mining Approaches for prediction of life
Threatening Disease Survivability”, IJAC (0975-8887), Vol 14(17), March 2012.
37. Jyothi. S, Ujma.A, Dipesh. S and Sunita. S “Predictive Data Mining for Medical Diagnosis : An Overview
of Heart Disease Prediction”, IJCA, Vol 17(8), pp 43-48, March 2011.
38. Usha. K Dr, “Analysis of Heart Disease Dataset using Neural network approach”, IJDKP, Vol 1(5), Sep
2011.
Survey on data mining techniques in heart disease prediction

More Related Content

What's hot

Heart disease prediction
Heart disease predictionHeart disease prediction
Heart disease predictionAriful Haque
 
Disease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment  systemDisease Prediction And Doctor Appointment  system
Disease Prediction And Doctor Appointment systemKOYELMAJUMDAR1
 
HPPS: Heart Problem Prediction System using Machine Learning
HPPS: Heart Problem Prediction System using Machine LearningHPPS: Heart Problem Prediction System using Machine Learning
HPPS: Heart Problem Prediction System using Machine LearningNimai Chand Das Adhikari
 
A Heart Disease Prediction Model using Decision Tree
A Heart Disease Prediction Model using Decision TreeA Heart Disease Prediction Model using Decision Tree
A Heart Disease Prediction Model using Decision TreeIOSR Journals
 
heart final last sem.pptx
heart final last sem.pptxheart final last sem.pptx
heart final last sem.pptxrakshashadu
 
Heart disease prediction system
Heart disease prediction systemHeart disease prediction system
Heart disease prediction systemSWAMI06
 
Detection of heart diseases by data mining
Detection of heart diseases by data miningDetection of heart diseases by data mining
Detection of heart diseases by data miningAbheepsa Pattnaik
 
Heart disease prediction using machine learning algorithm
Heart disease prediction using machine learning algorithm Heart disease prediction using machine learning algorithm
Heart disease prediction using machine learning algorithm Kedar Damkondwar
 
Prediction of heart disease using machine learning.pptx
Prediction of heart disease using machine learning.pptxPrediction of heart disease using machine learning.pptx
Prediction of heart disease using machine learning.pptxkumari36
 
Android Based Questionnaires Application for Heart Disease Prediction System
Android Based Questionnaires Application for Heart Disease Prediction SystemAndroid Based Questionnaires Application for Heart Disease Prediction System
Android Based Questionnaires Application for Heart Disease Prediction Systemijtsrd
 
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBaseA Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBaseijtsrd
 
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHMHEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHMamiteshg
 
Heart Disease Prediction Using Data Mining Techniques
Heart Disease Prediction Using Data Mining TechniquesHeart Disease Prediction Using Data Mining Techniques
Heart Disease Prediction Using Data Mining TechniquesIJRES Journal
 
Heart Failure Prediction Model Using ANN.pptx
Heart Failure Prediction Model Using ANN.pptxHeart Failure Prediction Model Using ANN.pptx
Heart Failure Prediction Model Using ANN.pptxJatinSinghSagoi
 
DISEASE PREDICTION SYSTEM USING DATA MINING
DISEASE PREDICTION SYSTEM USING  DATA MININGDISEASE PREDICTION SYSTEM USING  DATA MINING
DISEASE PREDICTION SYSTEM USING DATA MININGshivaniyadav112
 
Prediction of Heart Disease using Machine Learning Algorithms: A Survey
Prediction of Heart Disease using Machine Learning Algorithms: A SurveyPrediction of Heart Disease using Machine Learning Algorithms: A Survey
Prediction of Heart Disease using Machine Learning Algorithms: A Surveyrahulmonikasharma
 
Diabetes prediction using different machine learning approaches
Diabetes prediction using different machine learning approachesDiabetes prediction using different machine learning approaches
Diabetes prediction using different machine learning approachesCloudTechnologies
 
Prediction of cardiovascular disease with machine learning
Prediction of cardiovascular disease with machine learningPrediction of cardiovascular disease with machine learning
Prediction of cardiovascular disease with machine learningPravinkumar Landge
 
Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...
Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...
Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...Seonho Park
 
Alzheimer's disease classification using Deep learning Neural a Network and G...
Alzheimer's disease classification using Deep learning Neural a Network and G...Alzheimer's disease classification using Deep learning Neural a Network and G...
Alzheimer's disease classification using Deep learning Neural a Network and G...Yubraj Gupta
 

What's hot (20)

Heart disease prediction
Heart disease predictionHeart disease prediction
Heart disease prediction
 
Disease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment  systemDisease Prediction And Doctor Appointment  system
Disease Prediction And Doctor Appointment system
 
HPPS: Heart Problem Prediction System using Machine Learning
HPPS: Heart Problem Prediction System using Machine LearningHPPS: Heart Problem Prediction System using Machine Learning
HPPS: Heart Problem Prediction System using Machine Learning
 
A Heart Disease Prediction Model using Decision Tree
A Heart Disease Prediction Model using Decision TreeA Heart Disease Prediction Model using Decision Tree
A Heart Disease Prediction Model using Decision Tree
 
heart final last sem.pptx
heart final last sem.pptxheart final last sem.pptx
heart final last sem.pptx
 
Heart disease prediction system
Heart disease prediction systemHeart disease prediction system
Heart disease prediction system
 
Detection of heart diseases by data mining
Detection of heart diseases by data miningDetection of heart diseases by data mining
Detection of heart diseases by data mining
 
Heart disease prediction using machine learning algorithm
Heart disease prediction using machine learning algorithm Heart disease prediction using machine learning algorithm
Heart disease prediction using machine learning algorithm
 
Prediction of heart disease using machine learning.pptx
Prediction of heart disease using machine learning.pptxPrediction of heart disease using machine learning.pptx
Prediction of heart disease using machine learning.pptx
 
Android Based Questionnaires Application for Heart Disease Prediction System
Android Based Questionnaires Application for Heart Disease Prediction SystemAndroid Based Questionnaires Application for Heart Disease Prediction System
Android Based Questionnaires Application for Heart Disease Prediction System
 
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBaseA Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase
 
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHMHEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
 
Heart Disease Prediction Using Data Mining Techniques
Heart Disease Prediction Using Data Mining TechniquesHeart Disease Prediction Using Data Mining Techniques
Heart Disease Prediction Using Data Mining Techniques
 
Heart Failure Prediction Model Using ANN.pptx
Heart Failure Prediction Model Using ANN.pptxHeart Failure Prediction Model Using ANN.pptx
Heart Failure Prediction Model Using ANN.pptx
 
DISEASE PREDICTION SYSTEM USING DATA MINING
DISEASE PREDICTION SYSTEM USING  DATA MININGDISEASE PREDICTION SYSTEM USING  DATA MINING
DISEASE PREDICTION SYSTEM USING DATA MINING
 
Prediction of Heart Disease using Machine Learning Algorithms: A Survey
Prediction of Heart Disease using Machine Learning Algorithms: A SurveyPrediction of Heart Disease using Machine Learning Algorithms: A Survey
Prediction of Heart Disease using Machine Learning Algorithms: A Survey
 
Diabetes prediction using different machine learning approaches
Diabetes prediction using different machine learning approachesDiabetes prediction using different machine learning approaches
Diabetes prediction using different machine learning approaches
 
Prediction of cardiovascular disease with machine learning
Prediction of cardiovascular disease with machine learningPrediction of cardiovascular disease with machine learning
Prediction of cardiovascular disease with machine learning
 
Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...
Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...
Convolutional Neural Network for Alzheimer’s disease diagnosis with Neuroim...
 
Alzheimer's disease classification using Deep learning Neural a Network and G...
Alzheimer's disease classification using Deep learning Neural a Network and G...Alzheimer's disease classification using Deep learning Neural a Network and G...
Alzheimer's disease classification using Deep learning Neural a Network and G...
 

Viewers also liked

Psdot 14 using data mining techniques in heart
Psdot 14 using data mining techniques in heartPsdot 14 using data mining techniques in heart
Psdot 14 using data mining techniques in heartZTech Proje
 
Data mining seminar report
Data mining seminar reportData mining seminar report
Data mining seminar reportmayurik19
 
1.PPT (1.PREDICTION OF DISEASES New)
1.PPT (1.PREDICTION OF DISEASES New)1.PPT (1.PREDICTION OF DISEASES New)
1.PPT (1.PREDICTION OF DISEASES New)Jashvant Shah
 
Health Prediction System - an Artificial Intelligence Project 2015
Health Prediction System - an Artificial Intelligence Project 2015Health Prediction System - an Artificial Intelligence Project 2015
Health Prediction System - an Artificial Intelligence Project 2015Maruf Abdullah (Rion)
 
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan PhdSMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan PhdHealthcare consultant
 
Smart health prediction using data mining by customsoft
Smart health prediction using data mining by customsoftSmart health prediction using data mining by customsoft
Smart health prediction using data mining by customsoftCustom Soft
 
Hybrid Technique for Associative Classification of Heart Diseases
Hybrid Technique for Associative Classification of Heart DiseasesHybrid Technique for Associative Classification of Heart Diseases
Hybrid Technique for Associative Classification of Heart DiseasesJagdeep Singh Malhi
 
Data mining techniques on heart failure diagnosis
Data mining techniques on heart failure diagnosisData mining techniques on heart failure diagnosis
Data mining techniques on heart failure diagnosisSteve Iduye
 
Data mining slides
Data mining slidesData mining slides
Data mining slidessmj
 
Data Mining Concepts
Data Mining ConceptsData Mining Concepts
Data Mining ConceptsDung Nguyen
 
APHA Presentation: Using Predictive Analytics for West Nile Disease Prevention
APHA Presentation: Using Predictive Analytics for West Nile Disease PreventionAPHA Presentation: Using Predictive Analytics for West Nile Disease Prevention
APHA Presentation: Using Predictive Analytics for West Nile Disease PreventionRaed Mansour
 
Mesh 08: Reputation Monitoring Ladner
Mesh 08: Reputation Monitoring LadnerMesh 08: Reputation Monitoring Ladner
Mesh 08: Reputation Monitoring LadnerSam Ladner
 
Using rule based classifiers for the predictive analysis of breast cancer rec...
Using rule based classifiers for the predictive analysis of breast cancer rec...Using rule based classifiers for the predictive analysis of breast cancer rec...
Using rule based classifiers for the predictive analysis of breast cancer rec...Alexander Decker
 
Oil & Gas Production Forecasting Using Data Mining Techniques
Oil & Gas Production Forecasting Using Data Mining TechniquesOil & Gas Production Forecasting Using Data Mining Techniques
Oil & Gas Production Forecasting Using Data Mining TechniquesLong Vo
 

Viewers also liked (20)

Psdot 14 using data mining techniques in heart
Psdot 14 using data mining techniques in heartPsdot 14 using data mining techniques in heart
Psdot 14 using data mining techniques in heart
 
Data mining seminar report
Data mining seminar reportData mining seminar report
Data mining seminar report
 
1.PPT (1.PREDICTION OF DISEASES New)
1.PPT (1.PREDICTION OF DISEASES New)1.PPT (1.PREDICTION OF DISEASES New)
1.PPT (1.PREDICTION OF DISEASES New)
 
Health Prediction System - an Artificial Intelligence Project 2015
Health Prediction System - an Artificial Intelligence Project 2015Health Prediction System - an Artificial Intelligence Project 2015
Health Prediction System - an Artificial Intelligence Project 2015
 
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan PhdSMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
SMART HEALTH PREDICTION USING DATA MINING by Dr.Mahboob Khan Phd
 
Smart health prediction using data mining by customsoft
Smart health prediction using data mining by customsoftSmart health prediction using data mining by customsoft
Smart health prediction using data mining by customsoft
 
Hybrid Technique for Associative Classification of Heart Diseases
Hybrid Technique for Associative Classification of Heart DiseasesHybrid Technique for Associative Classification of Heart Diseases
Hybrid Technique for Associative Classification of Heart Diseases
 
Data mining techniques on heart failure diagnosis
Data mining techniques on heart failure diagnosisData mining techniques on heart failure diagnosis
Data mining techniques on heart failure diagnosis
 
Data mining slides
Data mining slidesData mining slides
Data mining slides
 
Data mining
Data miningData mining
Data mining
 
Data Mining Concepts
Data Mining ConceptsData Mining Concepts
Data Mining Concepts
 
Build Features, Not Apps
Build Features, Not AppsBuild Features, Not Apps
Build Features, Not Apps
 
APHA Presentation: Using Predictive Analytics for West Nile Disease Prevention
APHA Presentation: Using Predictive Analytics for West Nile Disease PreventionAPHA Presentation: Using Predictive Analytics for West Nile Disease Prevention
APHA Presentation: Using Predictive Analytics for West Nile Disease Prevention
 
GSduToit_MBA_Research_Report_2006
GSduToit_MBA_Research_Report_2006GSduToit_MBA_Research_Report_2006
GSduToit_MBA_Research_Report_2006
 
Online Surveys
Online SurveysOnline Surveys
Online Surveys
 
Data mining
Data miningData mining
Data mining
 
Mesh 08: Reputation Monitoring Ladner
Mesh 08: Reputation Monitoring LadnerMesh 08: Reputation Monitoring Ladner
Mesh 08: Reputation Monitoring Ladner
 
Using rule based classifiers for the predictive analysis of breast cancer rec...
Using rule based classifiers for the predictive analysis of breast cancer rec...Using rule based classifiers for the predictive analysis of breast cancer rec...
Using rule based classifiers for the predictive analysis of breast cancer rec...
 
Secure shell protocol
Secure shell protocolSecure shell protocol
Secure shell protocol
 
Oil & Gas Production Forecasting Using Data Mining Techniques
Oil & Gas Production Forecasting Using Data Mining TechniquesOil & Gas Production Forecasting Using Data Mining Techniques
Oil & Gas Production Forecasting Using Data Mining Techniques
 

Similar to Survey on data mining techniques in heart disease prediction

Comparing Data Mining Techniques used for Heart Disease Prediction
Comparing Data Mining Techniques used for Heart Disease PredictionComparing Data Mining Techniques used for Heart Disease Prediction
Comparing Data Mining Techniques used for Heart Disease PredictionIRJET Journal
 
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODSA STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODSIRJET Journal
 
IRJET- Heart Failure Risk Prediction using Trained Electronic Health Record
IRJET- Heart Failure Risk Prediction using Trained Electronic Health RecordIRJET- Heart Failure Risk Prediction using Trained Electronic Health Record
IRJET- Heart Failure Risk Prediction using Trained Electronic Health RecordIRJET Journal
 
Early Identification of Diseases Based on Responsible Attribute using Data Mi...
Early Identification of Diseases Based on Responsible Attribute using Data Mi...Early Identification of Diseases Based on Responsible Attribute using Data Mi...
Early Identification of Diseases Based on Responsible Attribute using Data Mi...IRJET Journal
 
Heart Disease Prediction using Machine Learning
Heart Disease Prediction using Machine LearningHeart Disease Prediction using Machine Learning
Heart Disease Prediction using Machine LearningIRJET Journal
 
prediction of heart disease using machine learning algorithms
prediction of heart disease using machine learning algorithmsprediction of heart disease using machine learning algorithms
prediction of heart disease using machine learning algorithmsINFOGAIN PUBLICATION
 
A data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksA data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksIAEME Publication
 
A data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksA data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksIAEME Publication
 
A data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksA data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksIAEME Publication
 
Heart disease classification using Random Forest
Heart disease classification using Random ForestHeart disease classification using Random Forest
Heart disease classification using Random ForestIRJET Journal
 
Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Survey
Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive SurveyPrognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Survey
Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Surveyijtsrd
 
IRJET- Disease Prediction using Machine Learning
IRJET-  	  Disease Prediction using Machine LearningIRJET-  	  Disease Prediction using Machine Learning
IRJET- Disease Prediction using Machine LearningIRJET Journal
 
HEALTH PREDICTION ANALYSIS USING DATA MINING
HEALTH PREDICTION ANALYSIS USING DATA  MININGHEALTH PREDICTION ANALYSIS USING DATA  MINING
HEALTH PREDICTION ANALYSIS USING DATA MININGAshish Salve
 
Paper id 212014112
Paper id 212014112Paper id 212014112
Paper id 212014112IJRAT
 
Propose a Enhanced Framework for Prediction of Heart Disease
Propose a Enhanced Framework for Prediction of Heart DiseasePropose a Enhanced Framework for Prediction of Heart Disease
Propose a Enhanced Framework for Prediction of Heart DiseaseIJERA Editor
 
javed_prethesis2608 on predcition of heart disease
javed_prethesis2608 on predcition of heart diseasejaved_prethesis2608 on predcition of heart disease
javed_prethesis2608 on predcition of heart diseasejaved75
 
Prediction of heart disease using neural network
Prediction of heart disease using neural networkPrediction of heart disease using neural network
Prediction of heart disease using neural networkIRJET Journal
 
ARTIFICIAL NEURAL NETWORKING in Dentistry
ARTIFICIAL NEURAL NETWORKING in DentistryARTIFICIAL NEURAL NETWORKING in Dentistry
ARTIFICIAL NEURAL NETWORKING in DentistryDr ATHUL CHANDRA.M
 
A Survey on Heart Disease Prediction Techniques
A Survey on Heart Disease Prediction TechniquesA Survey on Heart Disease Prediction Techniques
A Survey on Heart Disease Prediction Techniquesijtsrd
 

Similar to Survey on data mining techniques in heart disease prediction (20)

Comparing Data Mining Techniques used for Heart Disease Prediction
Comparing Data Mining Techniques used for Heart Disease PredictionComparing Data Mining Techniques used for Heart Disease Prediction
Comparing Data Mining Techniques used for Heart Disease Prediction
 
H0342044046
H0342044046H0342044046
H0342044046
 
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODSA STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
A STUDY OF THE LITERATURE ON CARDIOVASCULAR DISEASE PREDICTION METHODS
 
IRJET- Heart Failure Risk Prediction using Trained Electronic Health Record
IRJET- Heart Failure Risk Prediction using Trained Electronic Health RecordIRJET- Heart Failure Risk Prediction using Trained Electronic Health Record
IRJET- Heart Failure Risk Prediction using Trained Electronic Health Record
 
Early Identification of Diseases Based on Responsible Attribute using Data Mi...
Early Identification of Diseases Based on Responsible Attribute using Data Mi...Early Identification of Diseases Based on Responsible Attribute using Data Mi...
Early Identification of Diseases Based on Responsible Attribute using Data Mi...
 
Heart Disease Prediction using Machine Learning
Heart Disease Prediction using Machine LearningHeart Disease Prediction using Machine Learning
Heart Disease Prediction using Machine Learning
 
prediction of heart disease using machine learning algorithms
prediction of heart disease using machine learning algorithmsprediction of heart disease using machine learning algorithms
prediction of heart disease using machine learning algorithms
 
A data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksA data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networks
 
A data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksA data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networks
 
A data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networksA data mining approach for prediction of heart disease using neural networks
A data mining approach for prediction of heart disease using neural networks
 
Heart disease classification using Random Forest
Heart disease classification using Random ForestHeart disease classification using Random Forest
Heart disease classification using Random Forest
 
Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Survey
Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive SurveyPrognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Survey
Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Survey
 
IRJET- Disease Prediction using Machine Learning
IRJET-  	  Disease Prediction using Machine LearningIRJET-  	  Disease Prediction using Machine Learning
IRJET- Disease Prediction using Machine Learning
 
HEALTH PREDICTION ANALYSIS USING DATA MINING
HEALTH PREDICTION ANALYSIS USING DATA  MININGHEALTH PREDICTION ANALYSIS USING DATA  MINING
HEALTH PREDICTION ANALYSIS USING DATA MINING
 
Paper id 212014112
Paper id 212014112Paper id 212014112
Paper id 212014112
 
Propose a Enhanced Framework for Prediction of Heart Disease
Propose a Enhanced Framework for Prediction of Heart DiseasePropose a Enhanced Framework for Prediction of Heart Disease
Propose a Enhanced Framework for Prediction of Heart Disease
 
javed_prethesis2608 on predcition of heart disease
javed_prethesis2608 on predcition of heart diseasejaved_prethesis2608 on predcition of heart disease
javed_prethesis2608 on predcition of heart disease
 
Prediction of heart disease using neural network
Prediction of heart disease using neural networkPrediction of heart disease using neural network
Prediction of heart disease using neural network
 
ARTIFICIAL NEURAL NETWORKING in Dentistry
ARTIFICIAL NEURAL NETWORKING in DentistryARTIFICIAL NEURAL NETWORKING in Dentistry
ARTIFICIAL NEURAL NETWORKING in Dentistry
 
A Survey on Heart Disease Prediction Techniques
A Survey on Heart Disease Prediction TechniquesA Survey on Heart Disease Prediction Techniques
A Survey on Heart Disease Prediction Techniques
 

Recently uploaded

Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.raviapr7
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17Celine George
 
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINTARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINTDR. SNEHA NAIR
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...CaraSkikne1
 
How to Send Emails From Odoo 17 Using Code
How to Send Emails From Odoo 17 Using CodeHow to Send Emails From Odoo 17 Using Code
How to Send Emails From Odoo 17 Using CodeCeline George
 
Optical Fibre and It's Applications.pptx
Optical Fibre and It's Applications.pptxOptical Fibre and It's Applications.pptx
Optical Fibre and It's Applications.pptxPurva Nikam
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICESayali Powar
 
Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...
Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...
Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...Dr. Asif Anas
 
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdfP4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdfYu Kanazawa / Osaka University
 
Over the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptxOver the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptxraviapr7
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptxraviapr7
 
EBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting BlEBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting BlDr. Bruce A. Johnson
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxDr. Asif Anas
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...Nguyen Thanh Tu Collection
 
Work Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sashaWork Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sashasashalaycock03
 
Prescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxPrescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxraviapr7
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptxmary850239
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxraviapr7
 
Protein Structure - threading Protein modelling pptx
Protein Structure - threading Protein modelling pptxProtein Structure - threading Protein modelling pptx
Protein Structure - threading Protein modelling pptxvidhisharma994099
 

Recently uploaded (20)

Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.Drug Information Services- DIC and Sources.
Drug Information Services- DIC and Sources.
 
How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17How to Add a New Field in Existing Kanban View in Odoo 17
How to Add a New Field in Existing Kanban View in Odoo 17
 
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINTARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
ARTICULAR DISC OF TEMPOROMANDIBULAR JOINT
 
5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...5 charts on South Africa as a source country for international student recrui...
5 charts on South Africa as a source country for international student recrui...
 
How to Send Emails From Odoo 17 Using Code
How to Send Emails From Odoo 17 Using CodeHow to Send Emails From Odoo 17 Using Code
How to Send Emails From Odoo 17 Using Code
 
Optical Fibre and It's Applications.pptx
Optical Fibre and It's Applications.pptxOptical Fibre and It's Applications.pptx
Optical Fibre and It's Applications.pptx
 
Quality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICEQuality Assurance_GOOD LABORATORY PRACTICE
Quality Assurance_GOOD LABORATORY PRACTICE
 
Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...
Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...
Unveiling the Intricacies of Leishmania donovani: Structure, Life Cycle, Path...
 
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdfP4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
P4C x ELT = P4ELT: Its Theoretical Background (Kanazawa, 2024 March).pdf
 
Over the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptxOver the counter (OTC)- Sale, rational use.pptx
Over the counter (OTC)- Sale, rational use.pptx
 
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptxClinical Pharmacy  Introduction to Clinical Pharmacy, Concept of clinical pptx
Clinical Pharmacy Introduction to Clinical Pharmacy, Concept of clinical pptx
 
EBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting BlEBUS5423 Data Analytics and Reporting Bl
EBUS5423 Data Analytics and Reporting Bl
 
Ultra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptxUltra structure and life cycle of Plasmodium.pptx
Ultra structure and life cycle of Plasmodium.pptx
 
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
CHUYÊN ĐỀ DẠY THÊM TIẾNG ANH LỚP 11 - GLOBAL SUCCESS - NĂM HỌC 2023-2024 - HK...
 
Work Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sashaWork Experience for psp3 portfolio sasha
Work Experience for psp3 portfolio sasha
 
Prescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptxPrescribed medication order and communication skills.pptx
Prescribed medication order and communication skills.pptx
 
3.21.24 The Origins of Black Power.pptx
3.21.24  The Origins of Black Power.pptx3.21.24  The Origins of Black Power.pptx
3.21.24 The Origins of Black Power.pptx
 
Finals of Kant get Marx 2.0 : a general politics quiz
Finals of Kant get Marx 2.0 : a general politics quizFinals of Kant get Marx 2.0 : a general politics quiz
Finals of Kant get Marx 2.0 : a general politics quiz
 
Education and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptxEducation and training program in the hospital APR.pptx
Education and training program in the hospital APR.pptx
 
Protein Structure - threading Protein modelling pptx
Protein Structure - threading Protein modelling pptxProtein Structure - threading Protein modelling pptx
Protein Structure - threading Protein modelling pptx
 

Survey on data mining techniques in heart disease prediction

  • 1. Presented by S. Sivagowry Research scholar Bharathidasan university, Trichy Under the Guidance of Dr. M.Durai Raj, Assistant Professor School of Computer Science and Engineering, Bharathidasan University, Trichy
  • 2. Data Mining • Exploration of large data sets to extract hidden and previously unknown pattern, etc., • Two tasks: Predictive Tasks Descriptive Tasks • Predictive tasks predict the value of specific attribute based on other attribute Classification, Regression and Deviation Deduction
  • 3. ContD.. • Descriptive Tasks – Derive pattern that summarize the relationship between data – Clustering, Association rule Mining and Sequential Pattern Discovery • Steps in Data Mining Data Cleaning, Data Integration, Data Selection, Data transformation, Data Mining, Pattern Evaluation and Knowledge Representation
  • 4. ContD.. Medical Data mining Involves lot of accuracy and uncertainty Quality service at affordable cost is a major challenge Data is massive Decision based on doctor’s experience may fail in some cases Data Mining in health care – an intelligent diagnostic tool
  • 5. Heart Disease 29.2% of death is due to Cardio Vascular Disease CVD – leading cause for death in developing countries.
  • 7. ContD… Collected from University of California, Irvine (UCI). Cleveland data set, Hungary data set, Switzerland data set, Long beach and statlog data set 76 attributes 14 are used
  • 8. Data Mining techniques in heart Disease PreDiction Clustering Classification Regression Association Rule Mining
  • 9. Data Mining anD association rules  Carlos Ordonez and et. Al.,[7] used a simple mapping algorithm.  Treats numerical or categorical attributes as uniform.  Decision tree is incapable – it automatically split numerical value. (Medical data are in numerical format )  Interpreting experimental result by D.T is difficult  Clustering medical data deserves further research  Justify the use of A.R in Medical data
  • 10. contD…Deepika [11] used Pruning Classification Association Rule (PCAR). PCAR comes from Apriori algorithm. Deletes minimum frequency item with minimum frequency item sets. Deletes infrequent item from item sets. Classifies item based on frequency of item sets and discovers frequent item sets.
  • 11. Data Mining anD classification Usha Rani[38], used ANN in heart disease using feed forward and back propagation algorithm. Experiment by single and multi layered neural network models. Parallelism is implemented to speed up learning process. Neural network provides satisfactory results
  • 12. contD…. In [3], Classification is based on Supervised machine learning Algorithm. Tanagara tool is used to classify data Evaluation by using 10 fold cross validation. The performance is analysed based on accuracy and time taken to build the model. Naïve bayes is the better algorithm The table below shows the perfomance study of algorithm
  • 13. contD..Algorithm used Accuracy Time taken Naïve bayes 52.33% 609ms Decision List 52% 719ms KNN 45.67% 1000MS
  • 14. contD.. In [24], novel neuro fuzzy techniques is used. Preprocess by using Genetic Algorithm(GA). A four layered fuzzy neural network is used. Radial Basic Function neural network is constructed with 5 input, training and normalization in hidden layer and output layer with 1 node. In [25], Intelligent Heart Disease Prediction System (IHDPS )is proposed using Decision Tree, NB and Neural network. NB is the most effective one.
  • 15. Contd.. In [1], GA is used to determine the number of attributes. NB, D.T., Classification by Clustering are compared. DT takes more time to build the model. NB performs consistently before and after reduction of attributes. CVC is poor in performance
  • 16. Contd.. In [30], k-means clustering algorithm is used. Maximal Frequent Item Set Algorithm (MAFIA) is used. Multilayer perception network and back propagation algorithm is used as training algorithm.  Pseudo code for MAFIA [29]: MAFIA(C, MFI, Boolean IsHUT) { name HUT = C.head C.tail; if HUT is in MFI stop generation of children and return Count all children, use PEP to trim the tail, and recorder by increasing support, For each item i in C, trimmed_tail { IsHUT = whether i is the first item in the tail newNode = C I MAFIA (newNode, MFI, IsHUT)} if (IsHUT and all extensions are frequent) Stop search and go back up subtree If (C is a leaf and C.head is not in MFI) Add C.head to MFI }
  • 17. Contd… In [35], Naïve Bayes is used for predicting Decision Support in heart disease prediction System. NB is found to be best in heart disease prediction. It can be used as a tool for training nurses and medical students for diagnosing. It provides new ways of understanding and exploring the data. In [6], NB Classification can be used as a best decision support system. In [10], hybridization is used to train the neural network using GA. Feed forward and Back propagation is used as a learning algorithm. When two more attributes are added with existing attributes, Neural Network shows better performance in both the cases.
  • 18. Contd.. RIPPER, SVM, Decision Tree and ANN are compared based on Sensitivity, Specificity, Accuracy, Error Rate, TP AND FP Rate. [20] SVM predicts with least error rate and higher accuracy. DM with Fuzzy Logic reduces the number of attributes and number of tests for the patients.[21]
  • 19. data Mining and Clustering K-means clustering algorithm is used for the prediction of the heart disease[4]. Euclidean distance formula is used NB is slow and Neural network takes number of iterations. Performance of clustering and classification algorithm is compared [28]. NB predicts with highest accuracy than Clustering Algorithm.
  • 20. ConClusion Classification task plays a vital role when compared with Clustering, Association Rule and Regression. In Classification, each techniques has its own merits and demerits. Reduction of attributes is considered. Hybridization of Classification with Fuzzy Logic can predict with highest accuracy.
  • 21. reFerenCes 1. Anbarasi.M, Anupriya and Iyengar “Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm”, International Journal of Engineering and Technology, Vol 2(10), 2010, pp 5370-5376. 2. Annoj P.K.,” Clinical decision support system: Risk level prediction of heart disease using Data Mining Algorithms”, Journal of King Saud University- Computer and Information Sciences, 2012,pp 27-40. 3. Asha Rajkumar and Mrs. Sophia Reena, “ Diagnosis of Heart Disease using Data Mining Algorithms, Global Journal of Computer Science and Technology, vol. 10(10), 2010, pp 38-43. 4. Bala Sundar V, “Development of Data Clustering Algorithm for predicting Heart”, IJCA, Vol 48(7), June 2012, pp 8-13. 5. Bhagyashree Ambulkar and Vaishali Borkar “Data Mining in Cloud Computing”, MPGINMC, Recent Trends in Computing, ISSN 0975-8887,2012, pp 23-26. 6. Bhuvaneswari. R, “Naïve Bayesian Classification Approach in Health Care Application”, International Journal of Computer Science and Telecommunication, vol 3(1), Jan 2012, pp 106-112. 7. Carlos Ordonez, Edward Omincenski and Levien de Braal “Mining Constraint Association Rules to Predict Heart Disease”, Proceeding of 2001, IEEE International Conference of Data Mining, IEEE Computer Society, ISBN-0- 7695-1119-8, 2001, pp: 433-440. 8. Cengiz colak.M , Cemiz colak and Hasan Kocatruk “Predicting coronary artery disease using different artificial neural network models”, CAD and Artificial neural network, pp 249-254, 2008. 9. Chaltrali S. Dangare and Sulabha, “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques”, IJCA, Vol 47(10), pp 44-48, June 2012. 10. Chen A.H., “HDPS: Heart Disease Prediction System”, Computing in Cardiology, ISSN 0276-6574, pp 557-560, 2011.
  • 22. 11. Deepika. N, “Association Rule for Classification of Heart Attack patients”, IJAEST, Vol 11(2), pp 253- 257, 2011. 12. Jabbar M.A., “Knowledge discovery from mining association rules for Heart disease Prediction”, JATIT, Vol 41(2), pp 166-174, 2012. 13. Jyothi Soni, Uzma ansari and Dipesh Ansari “Intelligent and Effective Heart Disease Prediction System using Weighted Associate Classifer”, IJCSE, Vol 3(6), pp 2385-2392, June 2011. 14. K.Rajeswari, “Prediction of Risk Score for Heart Disease in India using Machine Intelligence”,IPCSIT, Vol 4, 2011. 15. Kavitha K.S, “Modeling and designing of evolutionary neural network for heart disease prediction”, IJCSI, Vol 7(5), pp 272-283, September 2010. 16. Latha Parthiban and R.Subramanian, “Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithm”, International Journal of Biological and Life Sciences, Vol 3(3), pp157-160,2007. 17. Liangxiao. J, Harry.Z, Zhihua.C and Jiang.S “One Dependency Augmented Naïve Bayes”, ADMA, pp 186-194, 2005. 18. Mia Shouman, “Using data mining techniques in heart disease diagnosis and treatment”, 978-1-4673- 0483-2, Japan-Egypt Conference on Electronics, Communications and Computers, pp 189-193, 2012. 19. Milan Kumari and Sunila Godara, “Review of Data Mining Classification Model in Cardio Vascular Disease diagnosis”, IJCA, 2011. 20. Milan Kumari and Sunila Godara, “Comparative Study of Data Mining Classification Methods in Cardio-Vascular Disease Prediction”, IJCST, Vol 2(2), June 2011.
  • 23. 21. Nidhi Bhatia and Kiran Jyothi, “A Novel Approach for heart disease diagnosis using Data Mining and Fuzzy logic”, IJCA, Vol 54(17), pp 16-21, September 2012. 22. Nithya N.S, Sarumathi. S and Dr. Duraisamy. K “ Assessment of the risk factors of Heart Attack using frequent feature Selection Method”, International Journal of Communications and Enggineering, Vol 1(1), ISSN 0988- 0382, pp 127-133, March 2012. 23. Qeethara Kadhim Al. Shayea, “Artificial neural network in Medical Diagnosis”, IJCSI, Vol 3(2), March 2011. 24. R. Setthukkarase and Kannan “An Intelligent System for mining Temporal rules in Clinical database using Fuzzy neural network”,European Journal of Scientific Research, ISSN 1450-216, Vol 70(3), pp 386-395, 2012. 25. Rafiah Awang and Palaniappan. S “Intelligent Heart Disease Prediction System Using Data Mining techniques”, IJCSNS, Vol 8(8), pp 343-350, Aug 2008. 26. Rafiah Awang and Palaniappan. S “Web based Heart Disease Decision Support System using Data Mining Classification Modeling techniques” , Proceedings of iiWAS, pp 177-187, 2007. 27. Raghu. D.Dr, “Probability Based Heart Disease Prediction using Data Mining Techniques”, IJCST, Vol 2(4), pp 66-68, Dec 2011. 28. Santhi. P, “Improving the performance of Data Mining Algorithm in Health Care data”, IJCST, Vol 2(3), 2011. 29. Setiawan N.A, “ Rule Selection for Coronary Artery Disease Diagnosis Based on Rough Set” ,International Journal of Recent Trends in Engineering, Vol 2(5), pp 198-202, Dec 2009. 30. Shantakumar B.Patil, “Intelligent and Effective Heart Attack Prediction System using Data Mining and Artifical Neural Network”, European Journal of Scientific Research, Vol 31(4), pp 642-656, 2009.
  • 24. 31. Shanthakumar B. Patil, “Extraction of Significant patterns from Heart Disease Ware Houses for Heart Attack Prediction”, IJCSNS, Vol 9(2), pp 228-235, Feb 2009. 32. Shouman.M, Turner.T and Stocker.R, “Applying K-Nearest Neighbour in diagnosing Heart Disease Patients”, International Journal of Information and Education Technology, Vol 2(3), June 2012. 33. Siri Krishnan Wasan, Vasutha Bhatnagar and Harleen Kaur “The Impact of Data Mining techniques on medical diagnostics”, Data Science Journal, Vol 5(19), pp 119-126, October 2006. 34. Srinivas, Kavitha Rani and Dr. Govarthan, “Application of Data Mining Techniques in Health Care and Prediction of Heart Attack”, IJCSE, Vol 2(2), pp 250-255, 2010. 35. Subbulakshmi, Ramesh and Chinna Rao “Decision Support in Heart Disease Prediction System using Naïve Bayes”, IJCSE, ISSN 0976-5166, Vol 2(2), May 2011. 36. Sudha.A, Gayathri.p and Jaishankar. N “Utilization of Data Mining Approaches for prediction of life Threatening Disease Survivability”, IJAC (0975-8887), Vol 14(17), March 2012. 37. Jyothi. S, Ujma.A, Dipesh. S and Sunita. S “Predictive Data Mining for Medical Diagnosis : An Overview of Heart Disease Prediction”, IJCA, Vol 17(8), pp 43-48, March 2011. 38. Usha. K Dr, “Analysis of Heart Disease Dataset using Neural network approach”, IJDKP, Vol 1(5), Sep 2011.