Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort ele...
Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Contents
Type 2 diabetes mellitus (T2DM) is a prevalent health challenge faced by countries worldwide. In this study, we propose a novel large language multimodal models (LLMMs) framework incorporating multimodal data from clinical notes and laboratory results for diabetes risk prediction. We collected five years of electronic health records (EHRs) dating f...
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Large language multimodal models for new-onset type 2 diabetes prediction using five-year cohort electronic health records
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TN_cdi_doaj_primary_oai_doaj_org_article_b2ceacc8b2fc4af681bf63706937197d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b2ceacc8b2fc4af681bf63706937197d
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-71020-2