Authors
Chaitanya Shivade, Preethi Raghavan, Eric Fosler-Lussier, Peter J Embi, Noemie Elhadad, Stephen B Johnson, Albert M Lai
Publication date
2014/3/1
Source
Journal of the American Medical Informatics Association
Volume
21
Issue
2
Pages
221-230
Publisher
BMJ Publishing Group
Description
Objective To summarize literature describing approaches aimed at automatically identifying patients with a common phenotype.
Materials and methods We performed a review of studies describing systems or reporting techniques developed for identifying cohorts of patients with specific phenotypes. Every full text article published in (1) Journal of American Medical Informatics Association, (2) Journal of Biomedical Informatics, (3) Proceedings of the Annual American Medical Informatics Association Symposium, and (4) Proceedings of Clinical Research Informatics Conference within the past 3 years was assessed for inclusion in the review. Only articles using automated techniques were included.
Results Ninety-seven articles met our inclusion criteria. Forty-six used natural language processing (NLP)-based techniques, 24 described rule-based systems, 41 used statistical analyses, data …
Total citations
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Scholar articles
C Shivade, P Raghavan, E Fosler-Lussier, PJ Embi… - Journal of the American Medical Informatics …, 2014