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covid-19's Introduction

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. 

Data

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Methods

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Prediction results

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Stage results

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covid-19's People

Contributors

scxsunchenxi avatar

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