Giter Site home page Giter Site logo

h4rrison-james / thesis Goto Github PK

View Code? Open in Web Editor NEW
1.0 1.0 0.0 1.94 MB

Relational object extraction from a medical text corpus, and application of machine learning techniques to classify symptoms and conditions.

Ruby 0.02% Objective-C 87.27% C 2.81% Shell 0.68% Python 9.22%

thesis's Introduction

# Introduction

This repository contains the work undertaken by myself (Harrison Sweeney) as part of my final year thesis in Mechatronic Engineering at UWA, Australia. It involves analysing a text corpus of medical data containing symptoms, causes, treatments, and drugs to identify relations between extracted data points. This information is then stored in a graph database (Neo4j), where is is able to be queried and manipulated. Down the line, an iOS app will be developed to interact with the graph database.

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.