Natural language processing of clinical notes enables early inborn error of immunity risk ascertainment

Natural language processing of clinical notes enables early inborn error of immunity risk ascertainment

Background: There are now approximately 450 discrete inborn errors of immunity (IEI) described; however, diagnostic rates remain suboptimal. Use of structured health record data has proven useful for patient detection but may be augmented by natural language processing (NLP). Here we present a machi...

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Bibliographic Details
Main Authors: Kirk Roberts, PhD, Aaron T. Chin, MD, Klaus Loewy, MS, Lisa Pompeii, PhD, Harold Shin, MS, Nicholas L. Rider, DO
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Journal of Allergy and Clinical Immunology: Global
Subjects:
Natural language processing
machine learning
text mining
inborn errors of immunity
primary immunodeficiency
diagnosis
Online Access:http://www.sciencedirect.com/science/article/pii/S2772829324000201

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http://www.sciencedirect.com/science/article/pii/S2772829324000201

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