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Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension

Authors :
Eric D. Austin
Marc D. Natter
Peter Szolovits
Mary P. Mullen
Sek Won Kong
Mei-Sing Ong
Kenneth D. Mandl
Alon Geva
Tianxi Cai
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Source :
PMC
Publication Year :
2017
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2017.

Abstract

Rationale: Pediatric pulmonary hypertension (PH) is a heterogeneous condition with varying natural history and therapeutic response. Precise classification of PH subtypes is, therefore, crucial for individualizing care. However, gaps remain in our understanding of the spectrum of PH in children. Objective: We seek to study the manifestations of PH in children and to assess the feasibility of applying a network-based approach to discern disease subtypes from comorbidity data recorded in longitudinal data sets. Methods and Results: A retrospective cohort study comprising 6 943 263 children (<br />National Institutes of Health (U.S.) (Award U01HL121518)

Details

Language :
English
Database :
OpenAIRE
Journal :
PMC
Accession number :
edsair.doi.dedup.....817bb74aadb0d79f728f21d93e6f49c7