An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM Units.
Wendong GeJin-Won HuhYu Rang ParkJae Ho LeeYoung-Hak KimAlexander TurchinPublished in: AMIA (2018)
Keyphrases
- recurrent neural networks
- logistic regression
- prognostic models
- long short term memory
- logistic regression models
- neural network
- chaotic time series
- decision trees
- feed forward
- intensive care
- recurrent networks
- credit scoring
- support vector
- intensive care unit
- loss function
- survival analysis
- echo state networks
- breast cancer
- naive bayes
- prostate cancer
- artificial neural networks
- linear support vector machines
- regression model
- odds ratio
- prediction accuracy
- machine learning
- classification trees
- risk factors
- genetic algorithm
- back propagation
- decision support system
- logistic model
- pairwise