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Our final team project for the subject Machine Learning Applications in Health (COMP90089). This repository contains the code used to train and run the models used to classify diabetic patients at risk of an Acute Kidney Injury (AKI) episode within the next 7 days.

active 2023-11-032024-06-28 (UTC)

Complete coverage26,715 / 26,715 hourly files (100%) · 2 absent upstream2023-08-152026-09-01 (UTC)
Events
9
Pushes
6
Pull requests
0
Issues
0
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 239 days from 2023-11-03 to 2024-06-28. Pushes: 6 total, peak 5 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
cding216600

Recent activity

Latest issues, pull requests and releases

No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.