Predicting Disease Progression and Outcome of COVID-19 Patients based on Temporal Deep Learning Method
Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li and Zhenjie Wang.
├── Readme.md // help
├── T-LSTM // method code
│ ├── LSTMtimedecay.py
│ ├── decaymain.py
├── baselines // baseline methods code
│ ├── LSTM.
│ ├── RNN.
│ ├── PNN
│ ├── DT
│ ├── k-NN
│ └── SVM
├── DataProcess // data processing code
│ ├── DataProcess.ipynb
│ ├── DataStatistics.ipynb
│ └── ResultsVis.ipynb
├── data // raw data.
├── BatchData // preprocessed data
├── figures // result figures
├── model // saved T-LSTM model
└── results // result files.