Article

Identifying clusters of people with Multiple Long-Term Conditions using Large Language Models: a population-based study

2025-02-16

Abstract excerpt

<h4>Background</h4> Identifying clusters of people with similar patterns of Multiple Long-Term Conditions (MLTC) could help healthcare services to tailor management for each group. Large Language Models (LLMs) can utilise complex longitudinal electronic health records (EHRs) which may enable deeper insights into patterns of disease. Here, we develop a pipeline, incorporating an LLM, to generate gender-specific clu...

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Literature Corpus work: d3574d53-c9a6-5ad2-b3a6-689b9c48bbbe
DOI: 10.1101/2025.02.14.25322277

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