This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...
Researchers develop an AI tool to predict cardiometabolic multimorbidity risk in type 2 diabetes, aiding early intervention and personalised care. Find out more.
A research team led by professor Nan-Hee Kim from Korea University's College of Medicine (Nan-Hee Kim and So-Young Park of Department of Endocrinology and Metabolism; Min-Hee Kim and Jae-Young Kim of ...
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
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