
The authors propose a novel Large Language Multimodal Models (LLMMs) framework to predict chronic disease risk by integrating clinical notes and laboratory test results. By leveraging large language models, they achieve significant improvements in early-stage diabetes prediction accuracy.


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large-language-multimodal-models-for-5-year-chronic-disease-cohort-prediction-using-ehr-data


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


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Comprehensive daily behavioral data can be used to accurately diagnose diabetes, hyperlipidemia, and hypertension, potentially enabling early detection and intervention without relying solely on traditional medical data.


accurate-diagnosis-of-diabetes-hyperlipidemia-and-hypertension-using-daily-behavioral-data


Accurate Diagnosis of Diabetes, Hyperlipidemia, and Hypertension Using Daily Behavioral Data
