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Hospital Pediatrics
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November 21, 2022
Diagnosis Code and Health Care Utilization Patterns Associated With Diagnostic Uncertainty
Trisha L Marshall, Philip A Hagedorn, Courtney Sump, et al.
Frontiers in Genetics
|
December 19, 2013
EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children
Bahram Namjou, Mehdi Keddache, Keith Marsolo, et al.
International Journal of Pediatrics
|
October 5, 2016
Suboptimal Clinical Documentation in Young Children with Severe Obesity at Tertiary Care Centers
Cassandra C Brady, Vidhu V Thaker, Todd Lingren, et al.
Plos One
|
September 29, 2015
A GWAS Study on Liver Function Test Using eMERGE Network Participants
Bahram Namjou, Keith Marsolo, Todd Lingren, et al.
Frontiers in Genetics
|
December 6, 2014
Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis
Bahram Namjou, Keith Marsolo, Robert J Caroll, et al.
Journal of the American Medical Informatics Association : JAMIA
|
March 31, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability
Jacqueline C Kirby, Peter Speltz, Luke V Rasmussen, et al.
International Journal of Obesity (2005)
|
September 21, 2020
Evaluation of the MC4R gene across eMERGE network identifies many unreported obesity-associated variants
Bahram Namjou, Ian B Stanaway, Todd Lingren, et al.
Applied Clinical Informatics
|
July 26, 2016
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers
Todd Lingren, Vidhu Thaker, Cassandra Brady, et al.
American Journal of Respiratory and Critical Care Medicine
|
September 10, 2016
Identification of Four Novel Loci in Asthma in European American and African American Populations
Berta Almoguera, Lyam Vazquez, Frank Mentch, et al.
Journal of Biomedical Informatics
|
September 23, 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network
Ning Shang, Cong Liu, Luke V Rasmussen, et al.
Page
of 4
Search research articles
Search
Showing results (21-30 of 39) with videos related to
Sort By:
Page
of 4
Hospital Pediatrics
|
November 21, 2022
Diagnosis Code and Health Care Utilization Patterns Associated With Diagnostic Uncertainty
Trisha L Marshall, Philip A Hagedorn, Courtney Sump, et al.
Frontiers in Genetics
|
December 19, 2013
EMR-linked GWAS study: investigation of variation landscape of loci for body mass index in children
Bahram Namjou, Mehdi Keddache, Keith Marsolo, et al.
International Journal of Pediatrics
|
October 5, 2016
Suboptimal Clinical Documentation in Young Children with Severe Obesity at Tertiary Care Centers
Cassandra C Brady, Vidhu V Thaker, Todd Lingren, et al.
Plos One
|
September 29, 2015
A GWAS Study on Liver Function Test Using eMERGE Network Participants
Bahram Namjou, Keith Marsolo, Todd Lingren, et al.
Frontiers in Genetics
|
December 6, 2014
Phenome-wide association study (PheWAS) in EMR-linked pediatric cohorts, genetically links PLCL1 to speech language development and IL5-IL13 to Eosinophilic Esophagitis
Bahram Namjou, Keith Marsolo, Robert J Caroll, et al.
Journal of the American Medical Informatics Association : JAMIA
|
March 31, 2016
PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability
Jacqueline C Kirby, Peter Speltz, Luke V Rasmussen, et al.
International Journal of Obesity (2005)
|
September 21, 2020
Evaluation of the MC4R gene across eMERGE network identifies many unreported obesity-associated variants
Bahram Namjou, Ian B Stanaway, Todd Lingren, et al.
Applied Clinical Informatics
|
July 26, 2016
Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers
Todd Lingren, Vidhu Thaker, Cassandra Brady, et al.
American Journal of Respiratory and Critical Care Medicine
|
September 10, 2016
Identification of Four Novel Loci in Asthma in European American and African American Populations
Berta Almoguera, Lyam Vazquez, Frank Mentch, et al.
Journal of Biomedical Informatics
|
September 23, 2019
Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network
Ning Shang, Cong Liu, Luke V Rasmussen, et al.
Page
of 4