An overview of causal machine learning methodology in Electronic Health Records (EHR) скачать в хорошем качестве

An overview of causal machine learning methodology in Electronic Health Records (EHR)

Dr Maurice O’Connell gave a talk on current work with Dr Matthew Sperrin and the DynAIRx team in the area of statistics and causal inference and causal machine learning. Maurice talked about causal inference methodology development applied to electronic health records in the areas of deprescribing or continuing\initiating medications in individuals and populations with polypharmacy and multimorbidity and selecting individuals with polypharmacy and multimorbidity for structured medication reviews. This session was organised by the AI for Multiple Long Term Conditions Research Support Facility (link to the same archived website). AIM RSF is funded by the NIHR Artificial Intelligence for Multiple Long-Term Conditions (AIM) programme (NIHR202647). Slides: https://zenodo.org/records/15050555