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Article

Enabling phenotypic big data with PheNorm.

Journal of the American Medical Informatics Association : JAMIA - 1 Jan 2018

Yu Sheng, Ma Yumeng, Gronsbell Jessica, Cai Tianrun, Ananthakrishnan Ashwin N, Gainer Vivian S, Churchill Susanne E, Szolovits Peter, Murphy Shawn N, Kohane Isaac S, Liao Katherine P, Cai Tianxi

Abstract excerpt

Objective: Electronic health record (EHR)-based phenotyping infers whether a patient has a disease based on the information in his or her EHR. A human-annotated training set with gold-standard disease status labels is usually required to build an algorithm for phenotyping based on a set of predictive features. The time intensiveness of annotation and feature curation severely limits the ability to achieve...

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Identifiers

PMID: 29126253
DOI: 10.1093/jamia/ocx111
PMCID: PMC6251688

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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