Boosting the interpretability of clinical risk scores with intervention predictions.
Eric LoreauxKe YuJonas KempMartin SeneviratneChristina ChenSubhrajit RoyIvan ProtsyukNatalie HarrisAlexander D'AmourSteve YadlowskyMingjun ChenPublished in: CoRR (2022)
Keyphrases
- probability estimates
- clinical practice
- risk management
- prediction accuracy
- clinical setting
- risk factors
- ensemble methods
- cost sensitive
- decision making
- medical data
- risk assessment
- feature selection
- patient data
- high risk
- medical domain
- risk measures
- medical diagnostic
- clinical guidelines
- machine learning
- intensive care
- patient records
- weak learners
- clinical applications
- combining multiple
- base learners
- boosting algorithms
- neural network
- ensemble learning
- base classifiers
- rule base
- health care
- multi class
- data mining