EpiDeep Flu Prediction Model

EpiDeep Flu Prediction Model


This repository consists of visualizations and a reference implementation of the EpiDeep architecuture described in the following paper:

EpiDeep: Exploiting Embeddings for Epidemic Forecasting

Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan and B. Aditya Prakash
In the 25TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD 2019), August 2019, Anchorage, Alaska - USA.


 Explore

See historical data from any season or region.

 Compare

Compare historical data across regions or across seasons.

 Predict

See predictions from the EpiDeep model.

 Paper

Read our paper on Epidemic Forecasting.

 Code

Download the source code.

 Video

Watch our video on the project.

About Us

EpiDeep Team:
We are an epidemic forecasting team participating in CDC's Flusight challenge. We are from Virignia Tech. Our team consists of
Bijaya Adhikari
Xinfeng Xu
Naren Ramakrishnan
B. Aditya Prakash

Contact:
If you have any questions about the code, please contact Bijaya Adhikari at bijaya[at]cs[dot]vt[dot]edu

Website Author:
William Edmisten

Copyright:
Copyright (c) 2019 Bijaya Adhikari, Xinfeng Xu, Naren Ramakrishnan and B. Aditya Prakash
All Rights Reserved


You may use this code without fee for educational and research purposes.
Any for-profit use requires written consent of the copyright holders.