Article

A Supervised Text-Embedded Transformer Matching Model to Detect Fall Injuries in Medicare Data

2026-07-31

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> To develop and validate a supervised text-embedded transformer matching model to identify fall injuries in Medicare data, and evaluate the model’s performance -- alongside a validated rule-based algorithm-- against “ground truth” from an external reference standard (self-reported fall injuries leading to medical attention). <h4>Materials and Methods</h4> Text embeddings of I...

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Literature Corpus work: 620a8ffd-7229-5b68-8fa4-d48e2c5c1eee
DOI: 10.64898/2026.07.29.26359258

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