Identifying lupus patients in electronic health records: Development and validation of machine learning algorithms and application of rule-based algorithms

To utilize electronic health records (EHRs) to study SLE, algorithms are needed to accurately identify these patients. We used machine learning to generate data-driven SLE EHR algorithms and assessed performance of existing rule-based algorithms. We randomly selected subjects with ≥ 1 SLE ICD-9/10 c...

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Veröffentlicht in:	Seminars in arthritis and rheumatism Jg. 49; H. 1; S. 84 - 90
Hauptverfasser:	Jorge, April, Castro, Victor M., Barnado, April, Gainer, Vivian, Hong, Chuan, Cai, Tianxi, Cai, Tianrun, Carroll, Robert, Denny, Joshua C., Crofford, Leslie, Costenbader, Karen H., Liao, Katherine P., Karlson, Elizabeth W., Feldman, Candace H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.08.2019
Schlagworte:	Adult Aged Algorithms Bioinformatics Databases, Factual Electronic Health Records Female Humans Lupus Erythematosus, Systemic - diagnosis Machine Learning Male Middle Aged Natural Language Processing Sensitivity and Specificity Systemic lupus erythematosus Systemic lupus erythematosus Algorithms Bioinformatics Electronic health records
ISSN:	0049-0172, 1532-866X, 1532-866X
Online-Zugang:	Volltext
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