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Machine learning algorithms: why the cup occasionally appears half-empty
Richard J. Woodman
College of Medicine and Public Health
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Medicine and Dentistry
Lifestyle Intervention
100%
Personalized Medicine
66%
Impaired Glucose Tolerance
66%
Health Care Cost
33%
Physical Activity
33%
Medical History
33%
Logistic Regression Analysis
33%
Anthropometry
33%
Urinalysis
33%
Blood Glucose Monitoring
33%
Blood Glucose
33%
Indirect Calorimetry
33%
Vital Sign
33%
Blood Examination
33%
Computer Science
Machine Learning Algorithm
100%
Responder
75%
Random Decision Forest
50%
Machine Learning Approach
50%
Classification Accuracy
50%
Precision Medicine
50%
Supervised Learning
25%
Demographic Data
25%
World Health Organization
25%
Majority Class
25%
Logistic Regression Model
25%
Learning Algorithm
25%
Biochemistry, Genetics and Molecular Biology
Impaired Glucose Tolerance
100%
Random Forest
100%
Calorimetry
50%
Physical Activity
50%
Glucose Blood Level
50%
Blood Glucose Monitoring
50%
Bioimpedance Analysis
50%
Psychology
Learning Algorithm
100%
Blood Glucose
40%
Precision Medicine
40%
Physical Activity
20%
Regression Model
20%
World Health Organization
20%
Neuroscience
Machine Learning Algorithm
100%
Anthropometry
25%
Calorimetry
25%
Blood Glucose Monitoring
25%