Giter Club home page Giter Club logo

medicare-fraud's Introduction

Medicare Fraud Detection

Medicare Fraud detection on Medicare aggregated data for Part D using variational autoencoders.

Data Used:

Part D Prescriber Data

This data gives details the prescription drugs prescribed by individual physicians and other health care providers. The provider ID and Drug ID are the primary keys. This table only tells the stats regarding the provider and a drug. For example one sample row might be about Dr. X and Drug Y with other attributes being how many tablets were given, how many unique beneficiaries and etc. Online samples for the data can be found here. The link to the dataset.

All the preprocessing done to the data is present in the code. The data file is opened as is in the notebook.

Furthermore there is an additional file which provides the ids of the excluded providers (providers who were caught commiting fraud). This file can be found here.

medicare-fraud's People

Contributors

hussamh10 avatar

Stargazers

 avatar

Watchers

James Cloos avatar  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.