Article

Leveraging Pretrained Large Language Model for Prognosis of Type 2 Diabetes Using Longitudinal Medical Records

2025-02-05

Abstract excerpt

Timely prognosis of type 2 diabetes (T2D) is critical for effective interventions and reducing economic burden. Longitudinal medical records offer potential for extracting clinical insights but face challenges due to the sparse, high-dimensional data, data privacy, domain compatibility and interpretability issues. This study introduced PRIME-LLM, a framework that leverages the prediction power of pretrained large...

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Literature Corpus work: 3c2e11e6-ad35-541e-8565-3b1c456c26eb
DOI: 10.1101/2025.02.04.24313200

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