Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data

arXiv:2403.04785v1 Announce Type: new
Abstract: Chronic diseases such as diabetes are the leading causes of morbidity and mortality worldwide. Numerous research studies have been attempted with various deep learning models in diagnosis. However, most previous studies had certain limitations, including using publicly available datasets (e.g. MIMIC), and imbalanced data. In this study, we collected five-year electronic health records (EHRs) from the Taiwan hospital database, including 1,420,596 clinical notes, 387,392 laboratory test results, and more than 1,505 laboratory test items, focusing …

abstract arxiv cs.ai cs.cl data datasets deep learning diabetes diagnosis disease diseases ehr however language large language limitations mortality multimodal multimodal models prediction research studies type