Predictors of progression through the cascade of care to a cure for hepatitis C patients using decision trees and random forests.
Jasmine Ye NakayamaJoyce C. HoEmily CartwrightRoy L. SimpsonVicki Stover HertzbergPublished in: Comput. Biol. Medicine (2021)
Keyphrases
- random forests
- decision trees
- medical care
- chronic hepatitis
- random forest
- home care
- logistic regression
- machine learning algorithms
- patient care
- chronic disease
- decision tree ensembles
- health care
- ensemble methods
- classification trees
- naive bayes
- disease progression
- tree ensembles
- randomized trees
- base learners
- regression trees
- machine learning
- clinical data
- training data
- head pose estimation
- medical data
- training set
- medical knowledge
- patient data
- genetic programming
- regression forests
- medical records
- image processing