Interpretable deep learning for the prediction of ICU admission likelihood and mortality of COVID-19 patients.
Amril NazirHyacinth Kwadwo AmpaduPublished in: PeerJ Comput. Sci. (2022)
Keyphrases
- intensive care
- deep learning
- prognostic models
- intensive care unit
- intensive care units
- patient data
- decision support
- decision support system
- unsupervised learning
- health care
- machine learning
- unsupervised feature learning
- maximum likelihood
- clinical data
- classification trees
- blood pressure
- weakly supervised
- survival analysis
- mental models
- medical data
- heart rate
- risk factors
- deep architectures
- natural images
- active learning
- decision making