The innovative Research Support Facility is part of a 23ドル 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:
Introduction to CPRD using synthetic datasets
Jupyter Notebook 12
This repository contains drug lists that were created using the CodeBuilder tool created by the NIHR-funded OPTIMAL consortium.
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.
An R package to help researchers use publicly available health metadata to map variables onto research domains
An introduction to synthetic data, in the context of health-care and biomedical research.
This repository contains drug lists that were created using the CodeBuilder tool created by the NIHR-funded OPTIMAL consortium.
This repository contains all documentation of the AIM ECR network including ECR rep committee meeting notes, ECR events and training.
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.
Work In Progress - This repo has been forked to add documentation to it.
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