Article

A Deep Attention-Based Encoder for the Prediction of Type 2 Diabetes Longitudinal Outcomes from Routinely Collected Health Care Data

2024-11-04

Abstract excerpt

Recent evidence indicates that Type 2 Diabetes Mellitus (T2DM) is a complex and highly heterogeneous disease involving various pathophysiological and genetic pathways, which presents clinicians with challenges in disease management. While deep learning models have made significant progress in helping practitioners manage T2DM treatments, several important limitations persist. In this paper we propose DARE, a model...

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Literature Corpus work: 9ed90776-0feb-51f9-ac4f-48e960afe785
DOI: 10.1101/2024.11.02.24316561

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