Kenneth David Mandl, M.D.
This page shows the publications co-authored by Kenneth Mandl and Paul Avillach.
A high-throughput phenotyping algorithm is portable from adult to pediatric populations. J Am Med Inform Assoc. 2021 06 12; 28(6):1265-1269.
GenoPheno: cataloging large-scale phenotypic and next-generation sequencing data within human datasets. Brief Bioinform. 2021 01 18; 22(1):55-65.
The Genomics Research and Innovation Network: creating an interoperable, federated, genomics learning system. Genet Med. 2020 02; 22(2):371-380.
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.
What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask. J Med Internet Res. 2021 03 02; 23(3):e22219.
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. NPJ Digit Med. 2020; 3:109.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.