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

Journal of Pediatrics

Volumn 188, Issue , 2017, Pages 224-231.e5

  Geva, Alon ^h,j   Gronsbell, Jessica L ^k   Cai, Tianxi ^k   Cai, Tianrun ^l   Murphy, Shawn N ^j,m,n   Lyons, Jessica C ^j   Heinz, Michelle M ^h   Natter, Marc D ^h,j   Patibandla, Nandan ^h   Bickel, Jonathan ^h,j   Mullen, Mary P ^h,j   Mandl, Kenneth D ^h,j   Abman, Steven ^a   Adatia, Ian ^b   Austin, Eric D ^c   Feinstein, Jeffrey ^d   Fineman, Jeff ^e   Hanna, Brian ^f   Hopper, Rachel ^f   Ivy, Dunbar ^a   Keller, Roberta ^e   Krishnan, Usha ^g   Kulik, Thomas ^h   Mullen, Mary ^h   Raj, Usha ⁱ   Rosenzweig, Erika Berman ^g   more..

^a UNIVERSITY OF COLORADO   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

^c MONROE CARELL JR CHILDREN S HOSPITAL AT VANDERBILT   (United States)

^d STANFORD UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

^g Och Spine at New York Presbyterian Hospitals   (United States)

^h BOSTON CHILDREN S HOSPITAL   (United States)

ⁱ UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^j HARVARD MEDICAL SCHOOL   (United States)

^k HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^l BRIGHAM AND WOMEN S HOSPITAL   (United States)

^m PARTNERS HEALTHCARE   (United States)

ⁿ MASSACHUSETTS GENERAL HOSPITAL   (United States)

more..

Author keywords

bioinformatics; computer based model; pediatrics; pulmonary hypertension; registry

Indexed keywords

ARTICLE; CHILD; CHILDHOOD DISEASE; COHORT ANALYSIS; DATA MINING; ELECTRONIC HEALTH RECORD; HEART DISEASE; HUMAN; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MASSACHUSETTS; NATURAL LANGUAGE PROCESSING; NEONATAL RESPIRATORY DISTRESS SYNDROME; PREDICTIVE VALUE; PREVALENCE; PRIORITY JOURNAL; PULMONARY HYPERTENSION; REGISTER; RETROSPECTIVE STUDY; SCHOOL CHILD; ALGORITHM; HYPERTENSION, PULMONARY; PHENOTYPE; SENSITIVITY AND SPECIFICITY; UNITED STATES;

ALGORITHMS; CHILD; DATA MINING; ELECTRONIC HEALTH RECORDS; HUMANS; HYPERTENSION, PULMONARY; PHENOTYPE; PREDICTIVE VALUE OF TESTS; REGISTRIES; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; UNITED STATES;

EID: 85020761881     PISSN: 00223476     EISSN: 10976833     Source Type: Journal    
DOI: 10.1016/j.jpeds.2017.05.037     Document Type: Article

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