Assessment of Heterogeneity of Childhood Asthma Using Medical Informatics Approaches

Rationale To identify asthmatic children for electronic medical record (EMR)-based large-scale clinical studies, we recently developed natural language processing (NLP) algorithms for two asthma criteria [Predetermined Asthma Criteria (NLP-PAC) and Asthma Predictive Index (NLP-API)].

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Bibliographic Details
Published inJournal of allergy and clinical immunology Vol. 139; no. 2; p. AB202
Main Authors Wi, Chung-Il, MD, Sohn, Sunghwan, PhD, Liu, Hongfang, PhD, Park, Miguel A., MD, Kita, Hirohito, MD, Croghan, Ivana T., PhD, Juhn, Young J., MD, MPH
Format Journal Article
LanguageEnglish
Published St. Louis Elsevier Inc 01.02.2017
Elsevier Limited
Subjects
Algorithms
Allergy and Immunology
Asthma
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Summary:Rationale To identify asthmatic children for electronic medical record (EMR)-based large-scale clinical studies, we recently developed natural language processing (NLP) algorithms for two asthma criteria [Predetermined Asthma Criteria (NLP-PAC) and Asthma Predictive Index (NLP-API)].
ISSN:0091-6749
1097-6825
DOI:10.1016/j.jaci.2016.12.657