Keyphrases
Type 2 Diabetes Mellitus (T2DM)
100%
Diabetes
100%
Early Detection
100%
Machine Learning Models
100%
Accurate Classification
100%
Detection Classification
100%
Machine Learning Applications
100%
K-nearest
60%
Bernoulli
60%
Nave Bayes
60%
Without Diabetes
40%
Bayes Model
40%
Diastolic Blood Pressure
20%
Blood Glucose
20%
Body Mass Index
20%
Insulin Level
20%
Diabetic Patients
20%
Logistic Regression
20%
Serious Complications
20%
Patients with Diabetes
20%
Diabetes Risk
20%
Support Vector Machine
20%
Decision Tree
20%
Skinfold Thickness
20%
Number of Pregnancies
20%
Bayes Rule
20%
Kaggle
20%
Family Outcomes
20%
Family Tree
20%
Neighborhood Model
20%
Genetic Background
20%
Diabetes Inpatients
20%
Logistic Support
20%
Pima Indian Diabetes Dataset
20%
Tree Age
20%
Regression Vectors
20%
Nursing and Health Professions
Non Insulin Dependent Diabetes Mellitus
100%
K Nearest Neighbor
100%
Diabetes Mellitus
33%
Logistic Regression Analysis
33%
Glucose Blood Level
33%
Body Mass
33%
Insulin Level
33%
Diastolic Blood Pressure
33%
Skinfold Thickness
33%
Decision Trees
33%
Support Vector Machine
33%
Mathematics
Nave Bayes
100%
Nearest Neighbor
100%
Logistic Regression
33%
Decision Tree
33%
Support Vector Machine
33%
Logistics Support
33%
Diastolic Blood Pressure
33%
Diabetic Patient
33%
Optimal Model
33%
Bayes Decision
33%
Computer Science
Machine Learning
100%
Early Detection
100%
Nave Bayes
75%
Support Vector Machine
25%
Decision Trees
25%
Logistic Regression
25%
Logistics Support
25%
Engineering
Early Detection
100%
Nearest Neighbor
100%
Body Mass
33%
Support Vector Machine
33%
Blood Glucose Concentration
33%