Article

Transformer-based structuring of Italian electronic health records with application in cardiac settings

2026-01-23

Abstract excerpt

<h4>Purpose</h4> Natural Language Processing (NLP) has the potential to extract structured clinical knowledge from unstructured Electronic Health Records (EHRs). However, the limited availability of annotated datasets for algorithm training restricts its application in clinical practice. This study investigates the use of transformer-based NLP models to structure Italian EHRs in cardiac settings, addressing this...

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Literature Corpus work: fd332b3e-dbbb-5cc1-8c94-b49c2ea10081
DOI: 10.64898/2026.01.22.26344603

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