Article

Identifying High-Risk Patient Clusters for Falls Using Unsupervised Machine Learning on Linked Primary and Secondary Care Electronic Health Record Data

2026-03-18

Abstract excerpt

<title>Abstract</title> <p>Falls risk is multifactorial, involving a combination of clinical and sociodemographic factors. Although guidelines acknowledge this complexity, most research has focused on individual risk factors, leaving the combined impact of comorbidities relatively understudied. This population-wide study used electronic health records (EHR) linked across primary and secondary care to identify fal...

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Literature Corpus work: ae942d88-e2e0-5055-a52b-5fa6ecb6b1d3
DOI: 10.21203/rs.3.rs-8612539/v1

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