SlideShare a Scribd company logo

Prediction of heart disease using machine learning.pptx

•Download as PPTX, PDF•
•
K
kumari36

1. The document discusses using machine learning techniques to predict heart disease by evaluating large datasets to identify patterns that can help predict, prevent, and manage conditions like heart attacks. 2. It proposes using data analytics based on support vector machines and genetic algorithms to diagnose heart disease, claiming genetic algorithms provide the best optimized prediction models. 3. The key modules described are uploading training data, pre-processing the heart disease data, using machine learning to predict heart disease, and generating graphical representations of the analyses.

Education
1 of 41
PREDICTION OF HEART DISEASE USING MACHINE LEARNING
• Heart Attack is a term that assigns a large number of medical conditions related to heart. The key to Heart (Cardiovascular) diseases to evaluate large scores of data sets, compare information that can be used to predict, Prevent, Manage such as Heart attacks. Heart Disease is mainly because of stress, family backgrounds, High blood Pressure, etc… Data analytics is used to incorporate world for its valuable use to controlling, contravasting and Manage a large data sets. It can be applied with an much success to predict, prevent, Managing a Cardiovascular Diseases. To solve this we aims to implement the Data Analytics based on SVM and Genetic Algorithm to diagnosis of heart diseases. This result reveal the Genetic Algorithm as best optimized Prediction Models.
EXISTING SYSTEM  The World Health Organization (WHO) has estimated that 12 million deaths occur worldwide, every year  due to the Heart diseases.  About 25% deaths in the age group of 25-69 year occur because of heart diseases. In urban areas, 32.8%.
 deaths occur because of heart ailments, while this percentage in rural areas is 22.9.  Over 80% of deaths in world are because of Heart disease. WHO estimated by 2030, almost 23.6 million.  people will die due to Heart disease.  The diagnosis of diseases is a significant and tedious task in medicine.  Treatment of the said disease is quite high and not affordable by most of the patients particularly in India.
PROPOSED SYSTEM To predict the heart attack disease.  It helps in reducing treatment costs by providing effective treatments.  To find the parameters values in prediction like accuracy, elapsed time and energy consumption.
SYSTEM REQUIREMENT
HARDWARE CONFIGURATION • The below Hardware Specifications were used in both Server and Client machines when developing. • Processor : Intel(R) Core(TM) i3 • Processor Speed : 3.06 GHz • Ram : 2 GB • Hard Disk Drive : 250 GB • Floppy Disk Drive : Sony • CD-ROM Drive : Sony • Monitor : “17” inches • Keyboard : TVS Gold • Mouse : Logitech
SOFTWARE CONFIGURATION • The below Software Specifications were used in both Server and Client machines when developing. SERVER: • Operating System : Windows 7 • Technology Used : Python • Database : My-Sql • Database Connectivity : Native Connectivity • Web Server : Apache • Browser : Internet Explorer 6.0 CLIENT: • Operating System : Windows 7 • Browser : Internet Explorer 6.0
MODULES • Upload Training Data • Data Pre- Processing • Predicting Heart Disease • Graphical Representations
MODULES DESCRIBTION  Upload Training Data: The process of rule generation advances in two stages. During the first stage, the SVM model is built using training data During each fold, this model is utilized for predicting the class labels The rules are evaluated on the remaining 10% of test data for determining the accuracy, precision, recall and F-measure. In addition, rule set size and mean rule length are also calculated for each fold of cross-validation.  2. Data Pre- Processing: Heart disease data is pre-processed after collection of various records. The dataset contains a total of 303 patient records, where 6 records are with some missing values. Those 6 records have been removed from the dataset and the remaining 297 patient records are used in pre-processing. The multiclass variable and binary classification are introduced for the attributes of the given dataset.
CONTD…  Predicting Heart Disease: The training set is different from test set. In this study, we used this method to verity the universal applicability of the methods. In k-fold cross validation method, the whole dataset is used to train and test the classifier to Heart Stoke.  Graphical Representations: The analyses of proposed systems are calculated based on the approvals and disapprovals. This can be measured with the help of graphical notations such as pie chart, bar chart and line chart. The data can be given in a dynamical data.
DATAFLOW DIAGRAM
DIAGRAM
Admin
User
DATABASE DIAGRAM
Patient Appointment
Patient Registration
SCREEN SHOTS
Home Page
PATIENT APPOINTMENT
PATIENT REGISTRATION
PATIENT LOGIN
PATIENT PAGE
ACCOUNT DETAILS
VIEW DOCTOR DETAILS
PREDICT RISK
CONTD…
VIEW PATIENT REVIEW
UPLOAD TRAINING DATA
VIEW TRAINING DATA
ADD DOCTORS
VIEW GRAPH
CONTD…
CONTD…
CONTD…
CONTD…
CONTD…
FUTURE ENHANCEMENT • In future we can be made to produce an impact in the accuracy of the Decision Tree and Bayesian Classification for additional improvement after applying genetic • Algorithm in order to decrease the actual data for acquiring the optimal subset of attribute that is enough for heart disease prediction. The automation of heart disease prediction using actual real time data from health care organizations and agencies which can be built using big data. They can be fed as a streaming data and • By using the data, investigation of the patients in real time can be prepared.
CONCLUSION • Identifying the processing of raw healthcare data of heart information will help in the long term saving of human lives and early detection of abnormalities in heart conditions. Machine learning techniques were used in this work to process raw data and provide a new and novel discernment towards heart disease. Heat disease prediction is challenging and very important in the medical. However, the mortality rate can be drastically controlled if the disease is detected at the early stages and preventative measures are adopted as soon as possible. Further extension of this study is highly desirable to direct the investigations to real-world datasets instead of just theoretical approaches and simulations. The proposed hybrid HRFLM approach is used combining the characteristics of Random Forest (RF) and Linear Method (LM). HRFLM proved to be quite accurate in the prediction of heart disease. The future course of this research can be performed with diverse mixtures of machine learning techniques to better prediction techniques. Furthermore, new feature selection methods can be developed to get a broader perception of the significant features to increase the performance of heart disease prediction.
Prediction of heart disease using machine learning.pptx

Recommended

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
 
Heart Attack Prediction using Machine Learning
Heart Attack Prediction using Machine LearningHeart Attack Prediction using Machine Learning
Heart Attack Prediction using Machine Learning
mohdshoaibuddin1
 
Diabetes prediction using machine learning
Diabetes prediction using machine learningDiabetes prediction using machine learning
Diabetes prediction using machine learning
dataalcott
 
Heart Disease Identification Method Using Machine Learnin in E-healthcare.
Heart Disease Identification Method Using Machine Learnin in E-healthcare.Heart Disease Identification Method Using Machine Learnin in E-healthcare.
Heart Disease Identification Method Using Machine Learnin in E-healthcare.
SUJIT SHIBAPRASAD MAITY
 
Machine Learning for Disease Prediction
Machine Learning for Disease PredictionMachine Learning for Disease Prediction
Machine Learning for Disease Prediction
Mustafa Oğuz
 
Final ppt
Final pptFinal ppt
Final pptDhiraj Sriram
 
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
amiteshg
 
Heart disease prediction
Heart disease predictionHeart disease prediction
Heart disease prediction
Ariful Haque
 

Recommended

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
 
Heart Attack Prediction using Machine Learning
Heart Attack Prediction using Machine LearningHeart Attack Prediction using Machine Learning
Heart Attack Prediction using Machine Learning
mohdshoaibuddin1
 
Diabetes prediction using machine learning
Diabetes prediction using machine learningDiabetes prediction using machine learning
Diabetes prediction using machine learning
dataalcott
 
Heart Disease Identification Method Using Machine Learnin in E-healthcare.
Heart Disease Identification Method Using Machine Learnin in E-healthcare.Heart Disease Identification Method Using Machine Learnin in E-healthcare.
Heart Disease Identification Method Using Machine Learnin in E-healthcare.
SUJIT SHIBAPRASAD MAITY
 
Machine Learning for Disease Prediction
Machine Learning for Disease PredictionMachine Learning for Disease Prediction
Machine Learning for Disease Prediction
Mustafa Oğuz
 
Final ppt
Final pptFinal ppt
Final pptDhiraj Sriram
 
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
amiteshg
 
Heart disease prediction
Heart disease predictionHeart disease prediction
Heart disease prediction
Ariful Haque
 
Machine Learning
Machine LearningMachine Learning
Machine Learning
Darshan Ambhaikar
 
Predicting Diabetes Using Machine Learning
Predicting Diabetes Using Machine LearningPredicting Diabetes Using Machine Learning
Predicting Diabetes Using Machine Learning
John Alex
 
Disease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment systemDisease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment system
KOYELMAJUMDAR1
 
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
rahulmonikasharma
 
Project on disease prediction
Project on disease predictionProject on disease prediction
Project on disease prediction
KOYELMAJUMDAR1
 
Heart disease prediction system
Heart disease prediction systemHeart disease prediction system
Heart disease prediction system
SWAMI06
 
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
Nimai Chand Das Adhikari
 
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Disease Prediction by Machine Learning Over Big Data From Healthcare CommunitiesDisease Prediction by Machine Learning Over Big Data From Healthcare Communities
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Khulna University of Engineering & Tecnology
 
Heart Disease Prediction using Machine Learning Algorithm
Heart Disease Prediction using Machine Learning AlgorithmHeart Disease Prediction using Machine Learning Algorithm
Heart Disease Prediction using Machine Learning Algorithm
ijtsrd
 
Ppt on data science
Ppt on data science Ppt on data science
Ppt on data science
Ansh Budania
 
Machine learning ppt
Machine learning pptMachine learning ppt
Machine learning ppt
Rajat Sharma
 
Fraud detection with Machine Learning
Fraud detection with Machine LearningFraud detection with Machine Learning
Fraud detection with Machine Learning
Scaleway
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
RohithND
 
DIABETES PREDICTION SYSTEM .pptx
DIABETES PREDICTION SYSTEM .pptxDIABETES PREDICTION SYSTEM .pptx
DIABETES PREDICTION SYSTEM .pptx
Home
 
Disease prediction and doctor recommendation system
Disease prediction and doctor recommendation systemDisease prediction and doctor recommendation system
Disease prediction and doctor recommendation system
sabafarheen
 
Data science applications and usecases
Data science applications and usecasesData science applications and usecases
Data science applications and usecases
Sreenatha Reddy K R
 
Credit card fraud detection through machine learning
Credit card fraud detection through machine learningCredit card fraud detection through machine learning
Credit card fraud detection through machine learning
dataalcott
 
Machine learning seminar presentation
Machine learning seminar presentationMachine learning seminar presentation
Machine learning seminar presentation
sweety seth
 
Introduction of Data Science
Introduction of Data ScienceIntroduction of Data Science
Introduction of Data Science
Jason Geng
 
Machine Learning With Logistic Regression
Machine Learning With Logistic RegressionMachine Learning With Logistic Regression
Machine Learning With Logistic Regression
Knoldus Inc.
 
Presentation
PresentationPresentation
Presentation
CHANDRAJEETJHA4
 
PPT.pptx
PPT.pptxPPT.pptx
PPT.pptx
CHANDRAJEETJHA4
 

More Related Content

What's hot

Machine Learning
Machine LearningMachine Learning
Machine Learning
Darshan Ambhaikar
 
Predicting Diabetes Using Machine Learning
Predicting Diabetes Using Machine LearningPredicting Diabetes Using Machine Learning
Predicting Diabetes Using Machine Learning
John Alex
 
Disease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment systemDisease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment system
KOYELMAJUMDAR1
 
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
rahulmonikasharma
 
Project on disease prediction
Project on disease predictionProject on disease prediction
Project on disease prediction
KOYELMAJUMDAR1
 
Heart disease prediction system
Heart disease prediction systemHeart disease prediction system
Heart disease prediction system
SWAMI06
 
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
Nimai Chand Das Adhikari
 
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Disease Prediction by Machine Learning Over Big Data From Healthcare CommunitiesDisease Prediction by Machine Learning Over Big Data From Healthcare Communities
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Khulna University of Engineering & Tecnology
 
Heart Disease Prediction using Machine Learning Algorithm
Heart Disease Prediction using Machine Learning AlgorithmHeart Disease Prediction using Machine Learning Algorithm
Heart Disease Prediction using Machine Learning Algorithm
ijtsrd
 
Ppt on data science
Ppt on data science Ppt on data science
Ppt on data science
Ansh Budania
 
Machine learning ppt
Machine learning pptMachine learning ppt
Machine learning ppt
Rajat Sharma
 
Fraud detection with Machine Learning
Fraud detection with Machine LearningFraud detection with Machine Learning
Fraud detection with Machine Learning
Scaleway
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
RohithND
 
DIABETES PREDICTION SYSTEM .pptx
DIABETES PREDICTION SYSTEM .pptxDIABETES PREDICTION SYSTEM .pptx
DIABETES PREDICTION SYSTEM .pptx
Home
 
Disease prediction and doctor recommendation system
Disease prediction and doctor recommendation systemDisease prediction and doctor recommendation system
Disease prediction and doctor recommendation system
sabafarheen
 
Data science applications and usecases
Data science applications and usecasesData science applications and usecases
Data science applications and usecases
Sreenatha Reddy K R
 
Credit card fraud detection through machine learning
Credit card fraud detection through machine learningCredit card fraud detection through machine learning
Credit card fraud detection through machine learning
dataalcott
 
Machine learning seminar presentation
Machine learning seminar presentationMachine learning seminar presentation
Machine learning seminar presentation
sweety seth
 
Introduction of Data Science
Introduction of Data ScienceIntroduction of Data Science
Introduction of Data Science
Jason Geng
 
Machine Learning With Logistic Regression
Machine Learning With Logistic RegressionMachine Learning With Logistic Regression
Machine Learning With Logistic Regression
Knoldus Inc.
 

What's hot (20)

Machine Learning
Machine LearningMachine Learning
Machine Learning
 
Predicting Diabetes Using Machine Learning
Predicting Diabetes Using Machine LearningPredicting Diabetes Using Machine Learning
Predicting Diabetes Using Machine Learning
 
Disease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment systemDisease Prediction And Doctor Appointment system
Disease Prediction And Doctor Appointment system
 
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
 
Project on disease prediction
Project on disease predictionProject on disease prediction
Project on disease prediction
 
Heart disease prediction system
Heart disease prediction systemHeart disease prediction system
Heart disease prediction 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
 
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
Disease Prediction by Machine Learning Over Big Data From Healthcare CommunitiesDisease Prediction by Machine Learning Over Big Data From Healthcare Communities
Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
 
Heart Disease Prediction using Machine Learning Algorithm
Heart Disease Prediction using Machine Learning AlgorithmHeart Disease Prediction using Machine Learning Algorithm
Heart Disease Prediction using Machine Learning Algorithm
 
Ppt on data science
Ppt on data science Ppt on data science
Ppt on data science
 
Machine learning ppt
Machine learning pptMachine learning ppt
Machine learning ppt
 
Fraud detection with Machine Learning
Fraud detection with Machine LearningFraud detection with Machine Learning
Fraud detection with Machine Learning
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
DIABETES PREDICTION SYSTEM .pptx
DIABETES PREDICTION SYSTEM .pptxDIABETES PREDICTION SYSTEM .pptx
DIABETES PREDICTION SYSTEM .pptx
 
Disease prediction and doctor recommendation system
Disease prediction and doctor recommendation systemDisease prediction and doctor recommendation system
Disease prediction and doctor recommendation system
 
Data science applications and usecases
Data science applications and usecasesData science applications and usecases
Data science applications and usecases
 
Credit card fraud detection through machine learning
Credit card fraud detection through machine learningCredit card fraud detection through machine learning
Credit card fraud detection through machine learning
 
Machine learning seminar presentation
Machine learning seminar presentationMachine learning seminar presentation
Machine learning seminar presentation
 
Introduction of Data Science
Introduction of Data ScienceIntroduction of Data Science
Introduction of Data Science
 
Machine Learning With Logistic Regression
Machine Learning With Logistic RegressionMachine Learning With Logistic Regression
Machine Learning With Logistic Regression
 

Similar to Prediction of heart disease using machine learning.pptx

Presentation
PresentationPresentation
Presentation
CHANDRAJEETJHA4
 
PPT.pptx
PPT.pptxPPT.pptx
PPT.pptx
CHANDRAJEETJHA4
 
HEART DISEASE PREDICTION RANDOM FOREST ALGORITHMS
HEART DISEASE PREDICTION RANDOM FOREST ALGORITHMSHEART DISEASE PREDICTION RANDOM FOREST ALGORITHMS
HEART DISEASE PREDICTION RANDOM FOREST ALGORITHMS
IRJET Journal
 
IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...
IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...
IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...
IRJET Journal
 
Predicting Heart Disease Using Machine Learning Algorithms.
Predicting Heart Disease Using Machine Learning Algorithms.Predicting Heart Disease Using Machine Learning Algorithms.
Predicting Heart Disease Using Machine Learning Algorithms.
IRJET Journal
 
Prediction of Heart Disease Using Data Mining Techniques- A Review
Prediction of Heart Disease Using Data Mining Techniques- A ReviewPrediction of Heart Disease Using Data Mining Techniques- A Review
Prediction of Heart Disease Using Data Mining Techniques- A Review
IRJET Journal
 
IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...
IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...
IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...
IRJET Journal
 
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
 
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
ijdmtaiir
 
IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...
IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...
IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...
IRJET Journal
 
IRJET- Role of Different Data Mining Techniques for Predicting Heart Disease
IRJET- Role of Different Data Mining Techniques for Predicting Heart DiseaseIRJET- Role of Different Data Mining Techniques for Predicting Heart Disease
IRJET- Role of Different Data Mining Techniques for Predicting Heart Disease
IRJET Journal
 
IRJET - Comparative Study of Cardiovascular Disease Detection Algorithms
IRJET - Comparative Study of Cardiovascular Disease Detection AlgorithmsIRJET - Comparative Study of Cardiovascular Disease Detection Algorithms
IRJET - Comparative Study of Cardiovascular Disease Detection Algorithms
IRJET Journal
 
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
IRJET Journal
 
Heart Disease Prediction Using Machine Learning Techniques
Heart Disease Prediction Using Machine Learning TechniquesHeart Disease Prediction Using Machine Learning Techniques
Heart Disease Prediction Using Machine Learning Techniques
IRJET Journal
 
IRJET- Prediction and Analysis of Heart Disease using SVM Algorithm
IRJET- Prediction and Analysis of Heart Disease using SVM AlgorithmIRJET- Prediction and Analysis of Heart Disease using SVM Algorithm
IRJET- Prediction and Analysis of Heart Disease using SVM Algorithm
IRJET Journal
 
Heart Attack Prediction System Using Fuzzy C Means Classifier
Heart Attack Prediction System Using Fuzzy C Means ClassifierHeart Attack Prediction System Using Fuzzy C Means Classifier
Heart Attack Prediction System Using Fuzzy C Means Classifier
IOSR Journals
 
Heart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning TechniquesHeart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning Techniques
IRJET Journal
 
heart disease predction using machiine learning
heart disease predction using machiine learningheart disease predction using machiine learning
heart disease predction using machiine learning
PODILAPRAVALLIKA0576
 

Similar to Prediction of heart disease using machine learning.pptx (20)

Presentation
PresentationPresentation
Presentation
 
PPT.pptx
PPT.pptxPPT.pptx
PPT.pptx
 
HEART DISEASE PREDICTION RANDOM FOREST ALGORITHMS
HEART DISEASE PREDICTION RANDOM FOREST ALGORITHMSHEART DISEASE PREDICTION RANDOM FOREST ALGORITHMS
HEART DISEASE PREDICTION RANDOM FOREST ALGORITHMS
 
IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...
IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...
IRJET -Improving the Accuracy of the Heart Disease Prediction using Hybrid Ma...
 
Predicting Heart Disease Using Machine Learning Algorithms.
Predicting Heart Disease Using Machine Learning Algorithms.Predicting Heart Disease Using Machine Learning Algorithms.
Predicting Heart Disease Using Machine Learning Algorithms.
 
Prediction of Heart Disease Using Data Mining Techniques- A Review
Prediction of Heart Disease Using Data Mining Techniques- A ReviewPrediction of Heart Disease Using Data Mining Techniques- A Review
Prediction of Heart Disease Using Data Mining Techniques- A Review
 
IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...
IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...
IRJET- Develop Futuristic Prediction Regarding Details of Health System for H...
 
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
 
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
An Ill-identified Classification to Predict Cardiac Disease Using Data Cluste...
 
IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...
IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...
IRJET - Effective Heart Disease Prediction using Distinct Machine Learning Te...
 
IRJET- Role of Different Data Mining Techniques for Predicting Heart Disease
IRJET- Role of Different Data Mining Techniques for Predicting Heart DiseaseIRJET- Role of Different Data Mining Techniques for Predicting Heart Disease
IRJET- Role of Different Data Mining Techniques for Predicting Heart Disease
 
IRJET - Comparative Study of Cardiovascular Disease Detection Algorithms
IRJET - Comparative Study of Cardiovascular Disease Detection AlgorithmsIRJET - Comparative Study of Cardiovascular Disease Detection Algorithms
IRJET - Comparative Study of Cardiovascular Disease Detection Algorithms
 
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
 
Heart Disease Prediction Using Machine Learning Techniques
Heart Disease Prediction Using Machine Learning TechniquesHeart Disease Prediction Using Machine Learning Techniques
Heart Disease Prediction Using Machine Learning Techniques
 
IRJET- Prediction and Analysis of Heart Disease using SVM Algorithm
IRJET- Prediction and Analysis of Heart Disease using SVM AlgorithmIRJET- Prediction and Analysis of Heart Disease using SVM Algorithm
IRJET- Prediction and Analysis of Heart Disease using SVM Algorithm
 
Heart Attack Prediction System Using Fuzzy C Means Classifier
Heart Attack Prediction System Using Fuzzy C Means ClassifierHeart Attack Prediction System Using Fuzzy C Means Classifier
Heart Attack Prediction System Using Fuzzy C Means Classifier
 
Heart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning TechniquesHeart Failure Prediction using Different Machine Learning Techniques
Heart Failure Prediction using Different Machine Learning Techniques
 
heart disease predction using machiine learning
heart disease predction using machiine learningheart disease predction using machiine learning
heart disease predction using machiine learning
 

More from kumari36

Virtualize of IO Devices .docx
Virtualize of IO Devices .docxVirtualize of IO Devices .docx
Virtualize of IO Devices .docx
kumari36
 
VIRTUALIZATION STRUCTURES TOOLS.docx
VIRTUALIZATION STRUCTURES TOOLS.docxVIRTUALIZATION STRUCTURES TOOLS.docx
VIRTUALIZATION STRUCTURES TOOLS.docx
kumari36
 
Operating System extension.docx
Operating System extension.docxOperating System extension.docx
Operating System extension.docx
kumari36
 
Levels of Virtualization.docx
Levels of Virtualization.docxLevels of Virtualization.docx
Levels of Virtualization.docx
kumari36
 
Overview of java Language-3.pdf
Overview of java Language-3.pdfOverview of java Language-3.pdf
Overview of java Language-3.pdf
kumari36
 
Java Evolution-2.pdf
Java Evolution-2.pdfJava Evolution-2.pdf
Java Evolution-2.pdf
kumari36
 
Inheritance in Java.pdf
Inheritance in Java.pdfInheritance in Java.pdf
Inheritance in Java.pdf
kumari36
 
Constructors in Java (2).pdf
Constructors in Java (2).pdfConstructors in Java (2).pdf
Constructors in Java (2).pdf
kumari36
 
Chapter4-var.pdf
Chapter4-var.pdfChapter4-var.pdf
Chapter4-var.pdf
kumari36
 
softwareMaintenance.pdf
softwareMaintenance.pdfsoftwareMaintenance.pdf
softwareMaintenance.pdf
kumari36
 
testing.pdf
testing.pdftesting.pdf
testing.pdf
kumari36
 
Debugging.pdf
Debugging.pdfDebugging.pdf
Debugging.pdf
kumari36
 
QualityAssurance.pdf
QualityAssurance.pdfQualityAssurance.pdf
QualityAssurance.pdf
kumari36
 
Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...
Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...
Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...
kumari36
 
Presentation1.4.pptx
Presentation1.4.pptxPresentation1.4.pptx
Presentation1.4.pptx
kumari36
 
Presentation1.3.pptx
Presentation1.3.pptxPresentation1.3.pptx
Presentation1.3.pptx
kumari36
 
Cloud 1.2.pptx
Cloud 1.2.pptxCloud 1.2.pptx
Cloud 1.2.pptx
kumari36
 
Cloud Computing Introduction
Cloud Computing Introduction Cloud Computing Introduction
Cloud Computing Introduction
kumari36
 
Impact of Data Science
Impact of Data Science Impact of Data Science
Impact of Data Science
kumari36
 
Morphological Image Processing
Morphological Image ProcessingMorphological Image Processing
Morphological Image Processing
kumari36
 

More from kumari36 (20)

Virtualize of IO Devices .docx
Virtualize of IO Devices .docxVirtualize of IO Devices .docx
Virtualize of IO Devices .docx
 
VIRTUALIZATION STRUCTURES TOOLS.docx
VIRTUALIZATION STRUCTURES TOOLS.docxVIRTUALIZATION STRUCTURES TOOLS.docx
VIRTUALIZATION STRUCTURES TOOLS.docx
 
Operating System extension.docx
Operating System extension.docxOperating System extension.docx
Operating System extension.docx
 
Levels of Virtualization.docx
Levels of Virtualization.docxLevels of Virtualization.docx
Levels of Virtualization.docx
 
Overview of java Language-3.pdf
Overview of java Language-3.pdfOverview of java Language-3.pdf
Overview of java Language-3.pdf
 
Java Evolution-2.pdf
Java Evolution-2.pdfJava Evolution-2.pdf
Java Evolution-2.pdf
 
Inheritance in Java.pdf
Inheritance in Java.pdfInheritance in Java.pdf
Inheritance in Java.pdf
 
Constructors in Java (2).pdf
Constructors in Java (2).pdfConstructors in Java (2).pdf
Constructors in Java (2).pdf
 
Chapter4-var.pdf
Chapter4-var.pdfChapter4-var.pdf
Chapter4-var.pdf
 
softwareMaintenance.pdf
softwareMaintenance.pdfsoftwareMaintenance.pdf
softwareMaintenance.pdf
 
testing.pdf
testing.pdftesting.pdf
testing.pdf
 
Debugging.pdf
Debugging.pdfDebugging.pdf
Debugging.pdf
 
QualityAssurance.pdf
QualityAssurance.pdfQualityAssurance.pdf
QualityAssurance.pdf
 
Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...
Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...
Fast Wavelet Based Image Characterization for Highly Adaptive Image Retrieval...
 
Presentation1.4.pptx
Presentation1.4.pptxPresentation1.4.pptx
Presentation1.4.pptx
 
Presentation1.3.pptx
Presentation1.3.pptxPresentation1.3.pptx
Presentation1.3.pptx
 
Cloud 1.2.pptx
Cloud 1.2.pptxCloud 1.2.pptx
Cloud 1.2.pptx
 
Cloud Computing Introduction
Cloud Computing Introduction Cloud Computing Introduction
Cloud Computing Introduction
 
Impact of Data Science
Impact of Data Science Impact of Data Science
Impact of Data Science
 
Morphological Image Processing
Morphological Image ProcessingMorphological Image Processing
Morphological Image Processing
 

Recently uploaded

Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
PedroFerreira53928
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
RaedMohamed3
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
kaushalkr1407
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
bennyroshan06
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
Special education needs
 
Model Attribute Check Company Auto Property
Model Attribute Check Company Auto PropertyModel Attribute Check Company Auto Property
Model Attribute Check Company Auto Property
Celine George
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
siemaillard
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
beazzy04
 
Instructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxInstructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptx
Jheel Barad
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
MysoreMuleSoftMeetup
 
ESC Beyond Borders _From EU to You_ InfoPack general.pdf
ESC Beyond Borders _From EU to You_ InfoPack general.pdfESC Beyond Borders _From EU to You_ InfoPack general.pdf
ESC Beyond Borders _From EU to You_ InfoPack general.pdf
Fundacja Rozwoju Społeczeństwa Przedsiębiorczego
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
Celine George
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
Jisc
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
GeoBlogs
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
Delapenabediema
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
Jisc
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
joachimlavalley1
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
Sandy Millin
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
Col Mukteshwar Prasad
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
Excellence Foundation for South Sudan
 

Recently uploaded (20)

Basic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumersBasic phrases for greeting and assisting costumers
Basic phrases for greeting and assisting costumers
 
Palestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptxPalestine last event orientationfvgnh .pptx
Palestine last event orientationfvgnh .pptx
 
The Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdfThe Roman Empire A Historical Colossus.pdf
The Roman Empire A Historical Colossus.pdf
 
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptxMARUTI SUZUKI- A Successful Joint Venture in India.pptx
MARUTI SUZUKI- A Successful Joint Venture in India.pptx
 
special B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdfspecial B.ed 2nd year old paper_20240531.pdf
special B.ed 2nd year old paper_20240531.pdf
 
Model Attribute Check Company Auto Property
Model Attribute Check Company Auto PropertyModel Attribute Check Company Auto Property
Model Attribute Check Company Auto Property
 
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa
 
Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345Sha'Carri Richardson Presentation 202345
Sha'Carri Richardson Presentation 202345
 
Instructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptxInstructions for Submissions thorugh G- Classroom.pptx
Instructions for Submissions thorugh G- Classroom.pptx
 
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
Mule 4.6 & Java 17 Upgrade | MuleSoft Mysore Meetup #46
 
ESC Beyond Borders _From EU to You_ InfoPack general.pdf
ESC Beyond Borders _From EU to You_ InfoPack general.pdfESC Beyond Borders _From EU to You_ InfoPack general.pdf
ESC Beyond Borders _From EU to You_ InfoPack general.pdf
 
How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17How to Make a Field invisible in Odoo 17
How to Make a Field invisible in Odoo 17
 
The approach at University of Liverpool.pptx
The approach at University of Liverpool.pptxThe approach at University of Liverpool.pptx
The approach at University of Liverpool.pptx
 
The geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideasThe geography of Taylor Swift - some ideas
The geography of Taylor Swift - some ideas
 
The Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official PublicationThe Challenger.pdf DNHS Official Publication
The Challenger.pdf DNHS Official Publication
 
Supporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptxSupporting (UKRI) OA monographs at Salford.pptx
Supporting (UKRI) OA monographs at Salford.pptx
 
Additional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdfAdditional Benefits for Employee Website.pdf
Additional Benefits for Employee Website.pdf
 
2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...2024.06.01 Introducing a competency framework for languag learning materials ...
2024.06.01 Introducing a competency framework for languag learning materials ...
 
How to Break the cycle of negative Thoughts
How to Break the cycle of negative ThoughtsHow to Break the cycle of negative Thoughts
How to Break the cycle of negative Thoughts
 
Introduction to Quality Improvement Essentials
Introduction to Quality Improvement EssentialsIntroduction to Quality Improvement Essentials
Introduction to Quality Improvement Essentials
 

Prediction of heart disease using machine learning.pptx

  • 1. PREDICTION OF HEART DISEASE USING MACHINE LEARNING
  • 2. • Heart Attack is a term that assigns a large number of medical conditions related to heart. The key to Heart (Cardiovascular) diseases to evaluate large scores of data sets, compare information that can be used to predict, Prevent, Manage such as Heart attacks. Heart Disease is mainly because of stress, family backgrounds, High blood Pressure, etc… Data analytics is used to incorporate world for its valuable use to controlling, contravasting and Manage a large data sets. It can be applied with an much success to predict, prevent, Managing a Cardiovascular Diseases. To solve this we aims to implement the Data Analytics based on SVM and Genetic Algorithm to diagnosis of heart diseases. This result reveal the Genetic Algorithm as best optimized Prediction Models.
  • 3. EXISTING SYSTEM  The World Health Organization (WHO) has estimated that 12 million deaths occur worldwide, every year  due to the Heart diseases.  About 25% deaths in the age group of 25-69 year occur because of heart diseases. In urban areas, 32.8%.
  • 4.  deaths occur because of heart ailments, while this percentage in rural areas is 22.9.  Over 80% of deaths in world are because of Heart disease. WHO estimated by 2030, almost 23.6 million.  people will die due to Heart disease.  The diagnosis of diseases is a significant and tedious task in medicine.  Treatment of the said disease is quite high and not affordable by most of the patients particularly in India.
  • 5. PROPOSED SYSTEM To predict the heart attack disease.  It helps in reducing treatment costs by providing effective treatments.  To find the parameters values in prediction like accuracy, elapsed time and energy consumption.
  • 7. HARDWARE CONFIGURATION • The below Hardware Specifications were used in both Server and Client machines when developing. • Processor : Intel(R) Core(TM) i3 • Processor Speed : 3.06 GHz • Ram : 2 GB • Hard Disk Drive : 250 GB • Floppy Disk Drive : Sony • CD-ROM Drive : Sony • Monitor : “17” inches • Keyboard : TVS Gold • Mouse : Logitech
  • 8. SOFTWARE CONFIGURATION • The below Software Specifications were used in both Server and Client machines when developing. SERVER: • Operating System : Windows 7 • Technology Used : Python • Database : My-Sql • Database Connectivity : Native Connectivity • Web Server : Apache • Browser : Internet Explorer 6.0 CLIENT: • Operating System : Windows 7 • Browser : Internet Explorer 6.0
  • 9. MODULES • Upload Training Data • Data Pre- Processing • Predicting Heart Disease • Graphical Representations
  • 10. MODULES DESCRIBTION  Upload Training Data: The process of rule generation advances in two stages. During the first stage, the SVM model is built using training data During each fold, this model is utilized for predicting the class labels The rules are evaluated on the remaining 10% of test data for determining the accuracy, precision, recall and F-measure. In addition, rule set size and mean rule length are also calculated for each fold of cross-validation.  2. Data Pre- Processing: Heart disease data is pre-processed after collection of various records. The dataset contains a total of 303 patient records, where 6 records are with some missing values. Those 6 records have been removed from the dataset and the remaining 297 patient records are used in pre-processing. The multiclass variable and binary classification are introduced for the attributes of the given dataset.
  • 11. CONTD…  Predicting Heart Disease: The training set is different from test set. In this study, we used this method to verity the universal applicability of the methods. In k-fold cross validation method, the whole dataset is used to train and test the classifier to Heart Stoke.  Graphical Representations: The analyses of proposed systems are calculated based on the approvals and disapprovals. This can be measured with the help of graphical notations such as pie chart, bar chart and line chart. The data can be given in a dynamical data.
  • 14. Admin
  • 15. User
  • 39. FUTURE ENHANCEMENT • In future we can be made to produce an impact in the accuracy of the Decision Tree and Bayesian Classification for additional improvement after applying genetic • Algorithm in order to decrease the actual data for acquiring the optimal subset of attribute that is enough for heart disease prediction. The automation of heart disease prediction using actual real time data from health care organizations and agencies which can be built using big data. They can be fed as a streaming data and • By using the data, investigation of the patients in real time can be prepared.
  • 40. CONCLUSION • Identifying the processing of raw healthcare data of heart information will help in the long term saving of human lives and early detection of abnormalities in heart conditions. Machine learning techniques were used in this work to process raw data and provide a new and novel discernment towards heart disease. Heat disease prediction is challenging and very important in the medical. However, the mortality rate can be drastically controlled if the disease is detected at the early stages and preventative measures are adopted as soon as possible. Further extension of this study is highly desirable to direct the investigations to real-world datasets instead of just theoretical approaches and simulations. The proposed hybrid HRFLM approach is used combining the characteristics of Random Forest (RF) and Linear Method (LM). HRFLM proved to be quite accurate in the prediction of heart disease. The future course of this research can be performed with diverse mixtures of machine learning techniques to better prediction techniques. Furthermore, new feature selection methods can be developed to get a broader perception of the significant features to increase the performance of heart disease prediction.