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Paper Details

Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.
Methods Inf Med
1
2020
Asthma, Computable, Patient, Pediatric Asthma, PheKB, asthma, human, patients
Adolescent, Algorithms, Asthma, Child, Child, Preschool, Electronic Health Records, Humans, International Classification of Diseases, Natural Language Processing, Phenotype
Author NameAffiliation
Mindy K RossUniversity of California Los Angeles
Mindy K RossUniversity of California Los Angeles
Henry ZhengUniversity of California Los Angeles
Henry ZhengUniversity of California Los Angeles
Bing ZhuUniversity of California Los Angeles
Bing ZhuUniversity of California Los Angeles
Ailina LaoUniversity of California Los Angeles
Ailina LaoUniversity of California Los Angeles
Hyejin HongUniversity of California Los Angeles
Hyejin HongUniversity of California Los Angeles
Alamelu NatesanUniversity of California Los Angeles
Alamelu NatesanUniversity of California Los Angeles
Melina RadparvarUniversity of California Los Angeles
Melina RadparvarUniversity of California Los Angeles
Alex A T BuiUniversity of California Los Angeles
Alex A T BuiUniversity of California Los Angeles
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