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From Rule-Based to DeepSeek R1 – A Robust Comparative Evaluation of Fifty Years of Natural Language Processing (NLP) Models To Identify Inflammatory Bowel Disease Cohorts

2025-07-07

Abstract excerpt

1.1 1.1.1 <h4>Background</h4> Natural language processing (NLP) can identify cohorts of patients with inflammatory bowel disease (IBD) from free text. However, limited sharing of code, models, and datasets continues to hinder progress, and bias in foundation large language models (LLMs) remains a significant obstacle. 1.1.2 <h4>Objective</h4> To evaluate 15 open-source NLP models for identifying IBD cohorts, rep...

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Literature Corpus work
9ec7710f-2dc8-5c76-bf0c-bf59a45eb9cb
DOI
10.1101/2025.07.06.25330961
Open publication

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From Rule-Based to DeepSeek R1 – A Robust Comparative Evaluation of Fifty Years of Natural Language Processing (NLP) Models To Identify Inflammatory Bowel Disease CohortsDOI 10.1101/2025.07.06.25330961
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