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Article

A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry.

The Journal of pediatrics - 1 Sept 2017

Geva Alon, Gronsbell Jessica L, Cai Tianxi, Cai Tianrun, Murphy Shawn N, Lyons Jessica C, Heinz Michelle M, Natter Marc D, Patibandla Nandan, Bickel Jonathan, Mullen Mary P, Mandl Kenneth D

Abstract excerpt

OBJECTIVES: To compare registry and electronic health record (EHR) data mining approaches for cohort ascertainment in patients with pediatric pulmonary hypertension (PH) in an effort to overcome some of the limitations of registry enrollment alone in identifying patients with particular disease phenotypes. STUDY DESIGN: This study was a single-center retrospective analysis of EHR and registry data at Boston...

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Source

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Identifiers

PMID: 28625502
DOI: 10.1016/j.jpeds.2017.05.037
PMCID: PMC5572538

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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