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EARLY ALZHEIMER’S DISEASE
DETECTION SYSTEM USING
DECISION TREE ALGORTIHM
NAME: NUR FATIN SHAMIMI BINTI MAMAT
MATRIC NO : BTAL15040924
SUPERVISOR: PN NOR SURAYATI BINTI MOHAMAD USOP
INTRO
• Alzheimer, an old age disease of people over 65 years causes problems
with memory, thinking and behaviour. This disease progresses very slow
and its identification in early stages is very difficult.
• Peoples lacking knowledge and attention to current issues regarding
Alzheimer’s disease make it difficult to detect their loved one illness
earlier. Detecting Alzheimer’s as early as possible is important as studies
show that interventions are performed on Alzheimer’s patient after the
initial examination results in cure or at least slow it down.
• During the construction of this system I used Iterative Model to collect
information by reconstructing the steps in the Iterative Model and to
locate the disease the system uses the Decision tree to detect.
OBJECTIVE
• The objectives of this project have been defined as we
can know whether the goals of the system have been
achieved. There are the following objectives that
determine the success of this system:
• To design the system for people or family to identify
the appropriate risks for their loved one who may have
Alzheimer’s disease and make early diagnosis.
• To develop Early Detection Alzheimer’s disease using
Decision Tree Algorithm to check the possibility early
detection based on symptoms stated.
• To test the proposed system is functionality and
beneficially to users.
SCOPE
User/Patient
• Register
• Manage profile.
• Fill the questionnaire of Alzheimer’s disease.
• Check the health status on Alzheimer’s
disease.
• Generate report status of Alzheimer’s disease.
• View result Alzheimer’s disease status
• Nurse
• Register
• Manage profile.
• Add Alzheimer’s symptom.
Doctor
• Register
• Manage profile.
• Confirmed the stage of the Alzheimer’s disease.
• Generate report
CD
0
Early Alzheimer's
Disease Detection
System Using Decision
Tree Algorithm
PATIENT
Patient's Detail
answering Questionnaire
Alzheirmer's Disease Confirmation Status
Report Status
DOCTOR
Report Status
Questionnaire Information
Doctor's Detail
Alzheimer's Disease Confirmation Status
NURSE
Nurse'sDetails
AlzheimerStageDetails
QuestionnaireDetails
ERD
DFD 1.0
Register
2.0
Manage User
3.0
manage
Alzheimer
Stage
4.0
Manage
Questionnaire
5.0
Manage Result
6.0
Manage
Alzheimer
confirmation
7.0
Report
Nurse
Doctor
Patient
D1 Nurse
D2 Doctor
D3 Patient
D4 Stage
D5 Questionnaire
D6 Result
Nurse Detail Nurse Information
Nurse Detail
Nurse Information
Alzheimer Stage Details Alzheimer Stage Information
Alzheimer Stage Information
Questionnaire Details
Questionnaire
Information
Doctor InformationDoctor Detail
Doctor Detail Doctor Information
Alzheimer Confirmation Alzheimer Confirmation Status
Alzheimer Confirmation Status
Answering Questionnaire Questionnaire result
Questionnaire result
Patient Detail Patient Information
Patient Detail Patient Information
Alzheimer Confirmation Status
Questionnaire Information
Report Status
Report Status
FRAMEWORK
USER MODULE INTERFACE
ABOUT ALZHEIMER
MANAGE PROFILE
QUESTIONNAIRE
REPORT STATUS
DOCTOR MODULE INTERFACE
ABOUT ALZHEIMER
MANAGE PROFILE
PATIENT RESULT STATUS
NURSE MODULE INTERFACE
ABOUT ALZHEIMER
MANAGE PROFILE
MANAGE QUESTIONNAIRE
QUESTIONNAIRE
SOLUTION COMPLEXITY
Early Alzheimer’s Detection system
REFERENCE
• University of Adelaide. "New leads on treating dementia and Alzheimer's." ScienceDaily.
ScienceDaily, 2 May 2018. <www.sciencedaily.com/releases/2018/05/180502104103.htm>.
• NIH/National Institute on Alcohol Abuse and Alcoholism. "Lack of sleep may be linked to risk factor
for Alzheimer's disease: Preliminary study shows increased levels of beta-amyloid." ScienceDaily.
ScienceDaily, 13 April 2018. <www.sciencedaily.com/releases/2018/04/180413155301.htm>.
• Alzheimer’s Disease and Dementia |alz.org|Alzheimer’s Association.”what is Alzheimer’s.”
<https://www.alz.org/alzheimers_disease_what_is_alzheimers.asp>.
• Alzheimer’s Disease and Dementia |alz.org|Alzheimer’s Association.” Stages of Alzheimer's.”
<https://www.alz.org/alzheimers_disease_stages_of_alzheimers.asp>.
• Alzheimer’s Disease and Dementia |alz.org|Alzheimer’s Association.” 10 Early Signs and Symptoms
of Alzheimer's.” <https://alz.org/10-signs-symptoms-alzheimers-dementia.asp>.
• OR-Notes.” Decision trees examples” J E Beasley
<https://www.alz.org/alzheimers_disease_what_is_alzheimers.asp>.
• “Detection of Alzheimer disease in brain images using PSO and Decision Tree Approach”.
IEEE Xplore Digital Library, 26 January 2015.<https://ieeexplore.ieee.org/document/7019310/>.
• “PHP Decision Tree Classifier: Compose decision trees and evaluate subjects”.PHP
Classes,<https://www.phpclasses.org/package/10385-PHP-Compose-decision-trees-and-evaluate-subjects.html>.
EARLY ALZHEIMER’S DISEASE DETECTION SYSTEM USING DECISION TREE ALGORTIHM

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EARLY ALZHEIMER’S DISEASE DETECTION SYSTEM USING DECISION TREE ALGORTIHM

  • 1. EARLY ALZHEIMER’S DISEASE DETECTION SYSTEM USING DECISION TREE ALGORTIHM NAME: NUR FATIN SHAMIMI BINTI MAMAT MATRIC NO : BTAL15040924 SUPERVISOR: PN NOR SURAYATI BINTI MOHAMAD USOP
  • 2. INTRO • Alzheimer, an old age disease of people over 65 years causes problems with memory, thinking and behaviour. This disease progresses very slow and its identification in early stages is very difficult. • Peoples lacking knowledge and attention to current issues regarding Alzheimer’s disease make it difficult to detect their loved one illness earlier. Detecting Alzheimer’s as early as possible is important as studies show that interventions are performed on Alzheimer’s patient after the initial examination results in cure or at least slow it down. • During the construction of this system I used Iterative Model to collect information by reconstructing the steps in the Iterative Model and to locate the disease the system uses the Decision tree to detect.
  • 3. OBJECTIVE • The objectives of this project have been defined as we can know whether the goals of the system have been achieved. There are the following objectives that determine the success of this system: • To design the system for people or family to identify the appropriate risks for their loved one who may have Alzheimer’s disease and make early diagnosis. • To develop Early Detection Alzheimer’s disease using Decision Tree Algorithm to check the possibility early detection based on symptoms stated. • To test the proposed system is functionality and beneficially to users.
  • 4. SCOPE User/Patient • Register • Manage profile. • Fill the questionnaire of Alzheimer’s disease. • Check the health status on Alzheimer’s disease. • Generate report status of Alzheimer’s disease. • View result Alzheimer’s disease status
  • 5. • Nurse • Register • Manage profile. • Add Alzheimer’s symptom. Doctor • Register • Manage profile. • Confirmed the stage of the Alzheimer’s disease. • Generate report
  • 6. CD 0 Early Alzheimer's Disease Detection System Using Decision Tree Algorithm PATIENT Patient's Detail answering Questionnaire Alzheirmer's Disease Confirmation Status Report Status DOCTOR Report Status Questionnaire Information Doctor's Detail Alzheimer's Disease Confirmation Status NURSE Nurse'sDetails AlzheimerStageDetails QuestionnaireDetails
  • 7. ERD
  • 8. DFD 1.0 Register 2.0 Manage User 3.0 manage Alzheimer Stage 4.0 Manage Questionnaire 5.0 Manage Result 6.0 Manage Alzheimer confirmation 7.0 Report Nurse Doctor Patient D1 Nurse D2 Doctor D3 Patient D4 Stage D5 Questionnaire D6 Result Nurse Detail Nurse Information Nurse Detail Nurse Information Alzheimer Stage Details Alzheimer Stage Information Alzheimer Stage Information Questionnaire Details Questionnaire Information Doctor InformationDoctor Detail Doctor Detail Doctor Information Alzheimer Confirmation Alzheimer Confirmation Status Alzheimer Confirmation Status Answering Questionnaire Questionnaire result Questionnaire result Patient Detail Patient Information Patient Detail Patient Information Alzheimer Confirmation Status Questionnaire Information Report Status Report Status
  • 24.
  • 25.
  • 27.
  • 28.
  • 29.
  • 31. REFERENCE • University of Adelaide. "New leads on treating dementia and Alzheimer's." ScienceDaily. ScienceDaily, 2 May 2018. <www.sciencedaily.com/releases/2018/05/180502104103.htm>. • NIH/National Institute on Alcohol Abuse and Alcoholism. "Lack of sleep may be linked to risk factor for Alzheimer's disease: Preliminary study shows increased levels of beta-amyloid." ScienceDaily. ScienceDaily, 13 April 2018. <www.sciencedaily.com/releases/2018/04/180413155301.htm>. • Alzheimer’s Disease and Dementia |alz.org|Alzheimer’s Association.”what is Alzheimer’s.” <https://www.alz.org/alzheimers_disease_what_is_alzheimers.asp>. • Alzheimer’s Disease and Dementia |alz.org|Alzheimer’s Association.” Stages of Alzheimer's.” <https://www.alz.org/alzheimers_disease_stages_of_alzheimers.asp>. • Alzheimer’s Disease and Dementia |alz.org|Alzheimer’s Association.” 10 Early Signs and Symptoms of Alzheimer's.” <https://alz.org/10-signs-symptoms-alzheimers-dementia.asp>. • OR-Notes.” Decision trees examples” J E Beasley <https://www.alz.org/alzheimers_disease_what_is_alzheimers.asp>. • “Detection of Alzheimer disease in brain images using PSO and Decision Tree Approach”. IEEE Xplore Digital Library, 26 January 2015.<https://ieeexplore.ieee.org/document/7019310/>. • “PHP Decision Tree Classifier: Compose decision trees and evaluate subjects”.PHP Classes,<https://www.phpclasses.org/package/10385-PHP-Compose-decision-trees-and-evaluate-subjects.html>.