Giter Club home page Giter Club logo

deep_learning_longitudinal_ehr_trajectories's Introduction

Deep_learning_longitudinal_EHR_trajectories

Software requirements:

1- Python version 3.7 or newer.

How to run:

1- Download mag cohorts and shape cohorts folder from the provided link and put them in the Dataset folder.

2- The project is configured to use Nvidea GPU to train/test models. You should be ok if you do not have GPU.

3- Run TS_Classification_DNN.py

4- Choose a method, your GPU core (0 if you do not have GPU), and number of runs in the prompt message.

Please cite this github address if you use this project:

https://github.com/rotroff-lab/Deep_learning_longitudinal_EHR_trajectories/

deep_learning_longitudinal_ehr_trajectories's People

Contributors

rotroff-lab avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.