Skip to content

duyphuongcri/IR-LSTM

Repository files navigation

IR-LSTM

Official Pytorch Implementation of paper "Improving Recurrent Gate Mechanism for Time-to-Conversion Prediction of Alzheimer's Disease"

Author: Duy-Phuong Dao, Ngoc-Huynh Ho, Jahae Kim and Hyung-Jeong Yang.
Email: [email protected] (or [email protected]).

How to run the code

  1. Data Ceaning
    python clean_data.py

  2. Data splitting
    python generate_fold.py

  3. Training model
    python train.py

  4. Predicting and Evaluating model
    python predict.py

Ciation

If you use this code for research, please cite our paper:
Duy-Phuong Dao, Ngoc-Huynh Ho, Jahae Kim, and Hyung-Jeong Yang. 2020.Improving Recurrent Gate Mechanism For Time-to-Conversion PredictionOf Alzheimer’s Disease. InThe 9th International Conference on Smart Mediaand Applications (SMA 2020), September 17–19, 2020, Jeju, Republic of Korea.ACM, New York, NY, USA, 6 pages. https://doi.org/10.1145/3426020.3426036

About

Official Pytorch Implementation of paper "Improving Recurrent Gate Mechanism for Time-to-Conversion Prediction of Alzheimer's Disease"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages