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Cohort design and natural language processing to reduce bias in electronic health records research.
Khurshid, Shaan; Reeder, Christopher; Harrington, Lia X; Singh, Pulkit; Sarma, Gopal; Friedman, Samuel F; Di Achille, Paolo; Diamant, Nathaniel; Cunningham, Jonathan W; Turner, Ashby C; Lau, Emily S; Haimovich, Julian S; Al-Alusi, Mostafa A; Wang, Xin; Klarqvist, Marcus D R; Ashburner, Jeffrey M; Diedrich, Christian; Ghadessi, Mercedeh; Mielke, Johanna; Eilken, Hanna M; McElhinney, Alice; Derix, Andrea; Atlas, Steven J; Ellinor, Patrick T; Philippakis, Anthony A; Anderson, Christopher D; Ho, Jennifer E; Batra, Puneet; Lubitz, Steven A.
Afiliación
  • Khurshid S; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.
  • Reeder C; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Harrington LX; Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Singh P; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Sarma G; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Friedman SF; Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Di Achille P; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Diamant N; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Cunningham JW; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Turner AC; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Lau ES; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Haimovich JS; Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Al-Alusi MA; Division of Cardiology, Brigham and Women's Hospital, Boston, MA, USA.
  • Wang X; Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
  • Klarqvist MDR; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA.
  • Ashburner JM; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.
  • Diedrich C; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Ghadessi M; Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Mielke J; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Eilken HM; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • McElhinney A; Division of Cardiology, Massachusetts General Hospital, Boston, MA, USA.
  • Derix A; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Atlas SJ; Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
  • Ellinor PT; Cardiovascular Disease Initiative, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Philippakis AA; Data Sciences Platform, Broad Institute of Harvard and the Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Anderson CD; Harvard Medical School, Boston, MA, USA.
  • Ho JE; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
  • Batra P; Bayer AG, Research and Development, Pharmaceuticals, Leverkusen, Germany.
  • Lubitz SA; Bayer AG, Research and Development, Pharmaceuticals, Leverkusen, Germany.
NPJ Digit Med ; 5(1): 47, 2022 Apr 08.
Article en En | MEDLINE | ID: mdl-35396454
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: NPJ Digit Med Año: 2022 Tipo del documento: Article