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GLM-DM: language model boosted neural networks for HbA1c trend prediction in diabetes mellitus

Aim Predict Hemoglobin A1c (HbA1c) trends, a key metric in diabetes mellitus (DM) management, using readily available patient variables and language models (LMs).Methods We propose GLM (Language Model Boosted Neural Network) -DM, which leverages data augmentation and language model-driven feature en...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yikun Ban, Xinrui He, Patricia M. Verona, Curtiss B. Cook, Jingrui He
Format: Artigo
Sprache:Inglês
Veröffentlicht: Taylor & Francis Group 2025-12-01
Schriftenreihe:Future Science OA
Schlagworte:
diabetes mellitus
blood glucose
hemoglobin A1c
language models
generative adversarial network
deep learning
Online-Zugang:https://www.tandfonline.com/doi/10.1080/20565623.2025.2567166
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