arXiv Open Access 2025

Language Models for Longitudinal Clinical Prediction

Tananun Songdechakraiwut Michael Lutz

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Abstrak

We explore a lightweight framework that adapts frozen large language models to analyze longitudinal clinical data. The approach integrates patient history and context within the language model space to generate accurate forecasts without model fine-tuning. Applied to neuropsychological assessments, it achieves accurate and reliable performance even with minimal training data, showing promise for early-stage Alzheimer's monitoring.

Topik & Kata Kunci

cs.CL

Penulis (2)

Tananun Songdechakraiwut

Michael Lutz

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APA MLA BibTeX

Songdechakraiwut, T., Lutz, M. (2025). Language Models for Longitudinal Clinical Prediction. https://arxiv.org/abs/2510.23884

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Informasi Jurnal

Tahun Terbit: 2025
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓