Skip to content
@aim-rsf

AI for Multiple Long-term Conditions - Research Support Facility

Developing data standards, best practice and community around AI for multiple long term conditions research

AIMRSF

Welcome to AI for multiple long-term conditions: Research Support Facility!

The innovative Research Support Facility is part of a £23 million investment by the NIHR in AI, to connect researchers across the consortia, to ensure the investment delivers long-term, real-world impact for the programme and beyond.

Here's how to get started:

Popular repositories

  1. training training Public

    A repository that holds the materials for AIM RSF training.

    HTML 5 22

  2. browseMetadata browseMetadata Public

    An R package (and accompanying resources) to help a researcher browse metadata for health datasets

    R 3 1

  3. AIM-ECR-network AIM-ECR-network Public

    This repository contains all documentation of the AIM ECR network including ECR rep committee meeting notes, ECR events and training.

    3 1

  4. Synthetic-Data Synthetic-Data Public

    An introduction to synthetic data, in the context of health-care and biomedical research.

    2

  5. phenotypes phenotypes Public

    Forked from THINKINGGroup/phenotypes

    Work In Progress - This repo has been forked to add documentation to it.

    1

  6. drug-lists drug-lists Public

    This repository contains drug lists that were created using the CodeBuilder tool created by the NIHR-funded OPTIMAL consortium.

    1 1

Repositories

Showing 9 of 9 repositories

Top languages

Loading…

Most used topics

Loading…