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Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare System

2026-01-21

Abstract excerpt

<h4>Purpose</h4> Studies based on electronic health records (EHR) often rely on structured data, which may incompletely capture important clinical phenotypes in EHR notes. The purpose of this study was to assess two natural language processing (NLP) tools to extract phenotypes from unstructured EHR notes, and to evaluate the added value of integrating NLP-derived phenotypes with structured EHR data at a health sy...

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Literature Corpus work
5738f64b-042f-5d75-b120-7d86611c4006
DOI
10.64898/2026.01.18.26344356
Open publication

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Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare SystemDOI 10.64898/2026.01.18.26344356
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