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Machine learning for predicting chronic diseases: a systematic review
F. M. Delpino
, K. Costa
, S. R. Farias
, A. D.P. Chiavegatto Filho
, R. A. Arcêncio
,
B. P. Nunes
Research output
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Review article
›
peer-review
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Keyphrases
Chronic Disease
100%
Machine Learning
100%
Machine Learning Models
66%
Area under the Receiver Operating Characteristic (AUROC)
66%
K-nearest
33%
Healthcare Organizations
33%
Transparent Reporting
33%
Random Forest
33%
Healthcare Facilities
33%
Deep Neural Network
33%
Naïve Bayes
33%
Individual Prognoses
33%
Multivariable Prediction Model
33%
Individual Diagnosis
33%
Chronic Disease Progression
33%
Clinical Decisions
33%
Psychology
Chronic Disorder
100%
Systematic Review
100%
Learning Model
50%
Healthcare
25%
Study Design
25%
Neural Network
25%
Nursing and Health Professions
K Nearest Neighbor
25%