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Computer Science
Classification Models
100%
Feature Selection
100%
Feature Extraction
100%
Selection Model
100%
Data Mining
33%
Influencing Factor
33%
Knowledge Discovery
16%
Large Data Set
16%
Nave Bayes
16%
Data Mining Technique
16%
Domain Knowledge
16%
Computational Efficiency
16%
Classification Technique
16%
Patient Information
16%
Predictive Accuracy
16%
Medicine and Dentistry
Patient-Data
100%
Feature Extraction
100%
Diabetes
50%
Public Health
33%
Diabetes Mellitus
33%
Identified Patient
33%
Awareness
16%
Patient Care
16%
Body Mass Index
16%
Blood Glucose
16%
Clinical Management
16%
Patient with Diabetes
16%
Electronic Health Record
16%
Oral Medicine
16%
Blood Glucose Monitoring
16%
Base
16%
Diet Therapy
16%
Insulin Treatment
16%
Home Monitoring
16%
Family History
16%
Effective Treatment
16%
Nursing and Health Professions
Patient Coding
100%
Feature Extraction
100%
Diabetes Control
66%
Public Health
33%
Body Mass
16%
Clinical Management
16%
Insulin Treatment
16%
Family History
16%
Diet Therapy
16%
Knowledge Discovery
16%
Patient Care
16%
Patient with Diabetes
16%
Base
16%
Home Monitoring
16%
Diabetes Mellitus
16%
Glucose Blood Level
16%
Electronic Health Record
16%
Health Economics
16%
Blood Glucose Monitoring
16%
Patient Information
16%
Biochemistry, Genetics and Molecular Biology
Patient Coding
100%
Feature Extraction
100%
Glucose Blood Level
16%
Electronic Health Record
16%
Awareness
16%
Body Mass
16%
Knowledge Discovery
16%
Pharmacology, Toxicology and Pharmaceutical Science
Diabetes Mellitus
100%
Tablet
50%
Base
50%