Article
Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping.
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science - 1 Jan 2000
Moldwin Asher, Demner-Fushman Dina, Goodwin Travis R
Abstract excerpt
The objective of this study is to explore the role of structured and unstructured data for clinical phenotyping by determining which types of clinical phenotypes are best identified using unstructured data (e.g., clinical notes), structured data (e.g., laboratory values, vital signs), or their combination across 172 clinical phenotypes. Specifically, we used laboratory and chart measurements as well as clinical...
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