grant

Improving the completeness, granularity, and use of ethnicity data to minimise bias in machine learning prediction models

Organization UKRILocation United Kingdom
UKRIUK ResearchGrantActive
Sign up free to applyApply link · pipeline · email alerts
— or —

Get email alerts for similar roles

Weekly digest · no password needed · unsubscribe any time

Description preview

The aim of this work is to address healthcare inequalities through the lens of ethnicity data in electronic health records, using data linkage of primary and secondary care data to produce more complete and granular ethnicity records. This project is developing these improved groupings to use within risk prediction models that predict incident…

🔒

Full details available on the Agency plan

Unlock the complete grant description, eligibility criteria, contract value, evaluation details and apply link — plus alerts, pipeline tracking, and CSV export.

Start 7-day free trial — $29.99/mo →

Agency Plan

7-day free trial

Unlock procurement & grants

Upgrade to access active tenders from World Bank, UNDP, ADB and more — with email alerts and pipeline tracking.

$29.99 / month

  • 🔔Email alerts for new matching tenders
  • 🗂️Track tenders in your pipeline
  • 💰Filter by contract value
  • 📥Export results to CSV
  • 📌Save searches with one click
Start 7-day free trial →

Explore more

📍 More grants in United Kingdom🏷 More UKRI opportunities🏷 More UK Research opportunities🏷 More Grant opportunities🏢 All ukri_grants opportunities
Improving the completeness, granularity, and use of ethnicity data to minimise bias in machine learning prediction model | Dev Procure