Multiple Long-Term Conditions Research Update

Oct 12, 2023 1 min read Electronic Health Records, Multimorbidity

We continue to contribute to the MUM-PREDICT and OPTIMAL projects over the last six months including:

Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia
Maternal and child outcomes for pregnant women with pre-existing multiple long-term conditions: protocol for an observational study in the UK
Polypharmacy during pregnancy and associated risk factors: a retrospective analysis of 577 medication exposures among 1.5 million pregnancies in the UK, 2000-2019
The development of a core outcome set for studies of pregnant women with multimorbidity
Detection and evaluation of signals associated with exposure to individual and combination of medications in pregnancy: a signal detection study protocol

Electronic Health Records Multimorbidity

Christopher Yau

Professor of Artificial Intelligence

I am Professor of Artificial Intelligence. I am interested in statistical machine learning and its applications in the biomedical sciences.