Kenneth David Mandl, M.D.
This page shows the publications co-authored by Kenneth Mandl and Alon Geva.
A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J Am Med Inform Assoc. 2021 06 12; 28(6):1265-1269.
Adverse drug event presentation and tracking (ADEPT): semiautomated, high throughput pharmacovigilance using real-world data. JAMIA Open. 2020 Oct; 3(3):413-421.
Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources. J Am Med Inform Assoc. 2020 02 01; 27(2):294-300.
Provider Connectedness to Other Providers Reduces Risk of Readmission After Hospitalization for Heart Failure. Med Care Res Rev. 2019 02; 76(1):115-128.
Data-driven clustering identifies features distinguishing multisystem inflammatory syndrome from acute COVID-19 in children and adolescents. EClinicalMedicine. 2021 Oct; 40:101112.
A Computable Phenotype Improves Cohort Ascertainment in a Pediatric Pulmonary Hypertension Registry. J Pediatr. 2017 09; 188:224-231.e5.
Learning a Comorbidity-Driven Taxonomy of Pediatric Pulmonary Hypertension. Circ Res. 2017 Aug 04; 121(4):341-353.
Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data. J Am Med Inform Assoc. 2021 07 14; 28(7):1411-1420.
International Analysis of Electronic Health Records of Children and Youth Hospitalized With COVID-19 Infection in 6 Countries. JAMA Netw Open. 2021 06 01; 4(6):e2112596.
Feature extraction for phenotyping from semantic and knowledge resources. J Biomed Inform. 2019 03; 91:103122.
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