Application of a Natural Language Processing Algorithm to Asthma Ascertainment. An Automated Chart Review

Difficulty of asthma ascertainment and its associated methodologic heterogeneity have created significant barriers to asthma care and research. We evaluated the validity of an existing natural language processing (NLP) algorithm for asthma criteria to enable an automated chart review using electroni...

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Bibliographic Details
Published in:	American journal of respiratory and critical care medicine Vol. 196; no. 4; pp. 430 - 437
Main Authors:	Wi, Chung-Il, Sohn, Sunghwan, Rolfes, Mary C., Seabright, Alicia, Ryu, Euijung, Voge, Gretchen, Bachman, Kay A., Park, Miguel A., Kita, Hirohito, Croghan, Ivana T., Liu, Hongfang, Juhn, Young J.
Format:	Journal Article
Language:	English
Published:	United States American Thoracic Society 15.08.2017
Subjects:	Adolescent Algorithms Allergies Asthma Asthma - epidemiology Automation Child Child, Preschool Cohort Studies Electronic health records Electronic Health Records - statistics & numerical data Epidemiology Female Health risk assessment Humans Male Medical records Minnesota - epidemiology Natural Language Processing Original Pediatrics Prevalence Primary care Reproducibility of Results Retrospective Studies Rheumatoid arthritis Risk Factors Sensitivity and Specificity Validation studies Validity retrospective study electronic medical records informatics
ISSN:	1073-449X, 1535-4970, 1535-4970
Online Access:	Get full text
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