Code Monkey home page Code Monkey logo

mlforhsr's Introduction

Machine Learning for Health Outcomes Researchers

This code accompanies the article 'Machine Learning for Health Outcomes Researchers' (2017).

The code provided here in R and Python demonstrates the application of common machine methods to a simulated insurance claims dataset, to enable reproduction and extension of common methods.

Sanjay Basu, M.D., Ph.D.1,2*, Patrick Doupe, Ph.D.3

1 Center for Primary Care and Outcomes Research and Center for Population Health Sciences, Departments of Medicine and of Health Research and Policy, Stanford University 2 Center for Primary Care, Harvard Medical School 3 Arnhold Institute for Global Health, Icahn School of Medicine, Mt. Sinai Medical Center

*Email: [email protected]

mlforhsr's People

Contributors

patrick-dd avatar sanjaybasu 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.