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:
An R package to help researchers explore publicly available metadata from health datasets, categorising variables into research domains
Introduction to CPRD using synthetic datasets
Jupyter Notebook 4
An introduction to synthetic data, in the context of health-care and biomedical research.
This repository contains all documentation of the AIM ECR network including ECR rep committee meeting notes, ECR events and training.
Forked from THINKINGGroup/phenotypes
Work In Progress - This repo has been forked to add documentation to it.
This repository contains all documentation of the AIM ECR network including ECR rep committee meeting notes, ECR events and training.
An R package to help researchers explore publicly available metadata from health datasets, categorising variables into research domains
An introduction to synthetic data, in the context of health-care and biomedical research.
Repository for core community knowledge with information about the AIM RSF project and how to get started.
Glossary of common terms and definitions used by the AI for Multiple Long-Term Conditions project.
This repository contains drug lists that were created using the CodeBuilder tool created by the NIHR-funded OPTIMAL consortium.
Work In Progress - This repo has been forked to add documentation to it.
