Language Models for Longitudinal Clinical Prediction

• URL: http://arxiv.org/abs/2510.23884v1
• Date: Mon, 27 Oct 2025 21:49:03 GMT
• Title: Language Models for Longitudinal Clinical Prediction
• Abstract summary: We explore a lightweight framework that adapts frozen large language models to analyze longitudinal clinical data.<n>The approach integrates patient history and context within the language model space to generate accurate forecasts without model fine-tuning.<n>It achieves accurate and reliable performance even with minimal training data, showing promise for early-stage Alzheimer's monitoring.
• Score: 2.5925656171325127
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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