Hypatia: Health modelling made simple

Our solution for the Wellcome Data Science Ideathon mental health challenge (challenge #3: Intervention). This is your private repository for working on the challenges in the Wellcome Data Science Ideathon.

This repository was originally maintained and monitored by Wellcome staff and will made public after July 13 2023.

• data
  ├── data.csv # data from two simulated participants
  ├── data_notrialnum.csv # # data from two simulated participants, without trials numbers
  ├── data_singular.csv # data from one single simulated participant
  
• code
  ├── app.R # the central script for our prototype tool
  ├── RLmodel_fitting.R # reproducible script for simulating data
  
• results
  ├── Wellcome Data Science Ideathon - Proposal.pdf # Proposal
  ├── Wellcome Data Science Ideathon - Budget.pdf # Budget
  ├── Hypatia_Presentation.pdf # Presentation
  

Team members

Joseph Barnby (Royal Holloway, University of London)
Alex Pike (University of York)
Lei Zhang (University of Birmingham)
Catia Oliveira (University of York)

LICENCE

The code in this repository is licenced under a permissive MIT licence. All other content is licensed under CC BY 4.0. This means you may use any content in this repository as long as you credit the authors.