Assessment of the Modified Rankin Scale in Electronic Health Records with a Fine-tuned Large Language Model.

Journal: medRxiv : the preprint server for health sciences
Published Date: May 2, 2025

Abstract

INTRODUCTION: The modified Rankin scale (mRS) is an important metric in stroke research, often used as a primary outcome in clinical trials and observational studies. The mRS can be assessed retrospectively from electronic health records (EHR), though this process is labor-intensive and prone to inter-rater variability. Large language models (LLMs) have demonstrated potential in automating clinical text classification. We hypothesize that a fine-tuned LLM can analyze EHR text and classify mRS scores for clinical and research applications.

Authors

  • Luis Silva
    Division of Biological and Environmental Sciences and Engineering, Red Sea Research Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Marcus Milani
  • Sohum Bindra
  • Salman Ikramuddin
  • Megan Tessmer
  • Kaylee Frederickson
  • Abhigyan Datta
  • Halil Ergen
  • Alex Stangebye
  • Dawson Cooper
  • Kompal Kumar
  • Jeremy Yeung
  • Kamakshi Lakshminarayan
  • Christopher D Streib

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