P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory

Bibliographic Details
Main Authors: Kai Lee Yap, Anthony Wong, Sachleen Tuteja, Andrew Skol, Andy Drackley, Alexander Ing, Eleanor Hilton, Michael Carroll, Christopher McCabe, Sabah Kadri, Pamela Rathbun, Katrin Leuer, Joel Charrow
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Genetics in Medicine Open
Online Access:http://www.sciencedirect.com/science/article/pii/S2949774423006386
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author Kai Lee Yap
Anthony Wong
Sachleen Tuteja
Andrew Skol
Andy Drackley
Alexander Ing
Eleanor Hilton
Michael Carroll
Christopher McCabe
Sabah Kadri
Pamela Rathbun
Katrin Leuer
Joel Charrow
author_facet Kai Lee Yap
Anthony Wong
Sachleen Tuteja
Andrew Skol
Andy Drackley
Alexander Ing
Eleanor Hilton
Michael Carroll
Christopher McCabe
Sabah Kadri
Pamela Rathbun
Katrin Leuer
Joel Charrow
author_sort Kai Lee Yap
collection DOAJ
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issn 2949-7744
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publishDate 2023-01-01
publisher Elsevier
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series Genetics in Medicine Open
spelling doaj.art-a87bd78889bb459db14be70c729cb2992024-01-27T07:09:59ZengElsevierGenetics in Medicine Open2949-77442023-01-0111100638P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratoryKai Lee Yap0Anthony Wong1Sachleen Tuteja2Andrew Skol3Andy Drackley4Alexander Ing5Eleanor Hilton6Michael Carroll7Christopher McCabe8Sabah Kadri9Pamela Rathbun10Katrin Leuer11Joel Charrow12Center for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of MedicineStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of ChicagoStudent Inquiry & Research Program, Illinois Mathematics and Science AcademyCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of ChicagoCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of ChicagoCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of ChicagoCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of ChicagoStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of ChicagoCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of ChicagoCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of MedicineCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of MedicineCenter for Genomics, Department of Pathology and Laboratory Medicine, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of MedicineCenter for Genomics, Division of Genetics, Birth Defects and Metabolism, Ann & Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicinehttp://www.sciencedirect.com/science/article/pii/S2949774423006386
spellingShingle Kai Lee Yap
Anthony Wong
Sachleen Tuteja
Andrew Skol
Andy Drackley
Alexander Ing
Eleanor Hilton
Michael Carroll
Christopher McCabe
Sabah Kadri
Pamela Rathbun
Katrin Leuer
Joel Charrow
P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory
Genetics in Medicine Open
title P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory
title_full P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory
title_fullStr P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory
title_full_unstemmed P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory
title_short P591: Assessing the performance of automated HPO term extraction for deep phenotyping of patients receiving WES/WGS in a clinical diagnostic laboratory
title_sort p591 assessing the performance of automated hpo term extraction for deep phenotyping of patients receiving wes wgs in a clinical diagnostic laboratory
url http://www.sciencedirect.com/science/article/pii/S2949774423006386
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