Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research-Reference-Cited by-同舟云学术

Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research

Published:2021-01 Issue:5 Volume: Page:12-20
ISSN:2473-4276
Container-title:JCO Clinical Cancer Informatics
language:en
Short-container-title:JCO Clinical Cancer Informatics

Author:

Belenkaya Rimma¹,Gurley Michael J.²,Golozar Asieh³,Dymshyts Dmitry⁴,Miller Robert T.⁵,Williams Andrew E.⁶,Ratwani Shilpa⁷,Siapos Anastasios⁷,Korsik Vladislav⁴,Warner Jeremy⁸,Campbell W. Scott⁹,Rivera Donna¹⁰,Banokina Tatiana⁴,Modina Elizaveta⁴,Bethusamy Shantha¹,Stewart Henry Morgan⁷,Patel Meera¹,Chen Ruijun¹¹,Falconer Thomas¹¹,Park Rae Woong¹²,You Seng Chan¹²,Jeon Hokyun¹²,Shin Soe Jeong¹²,Reich Christian⁷

Affiliation:

1. Memorial Sloan Kettering, New York City, NY

2. Clinical and Translational Sciences Institute, Northwestern University, Evanston, IL

3. Regeneron Pharmaceuticals, Tarrytown, NY

4. Odysseus Data Services, Cambridge, MA

5. Tufts Clinical and Translational Science Institute, Boston, MA

6. Tufts Institute for Clinical Research and Health Policy Studies, Boston, MA

7. Real World Solutions, IQVIA, London, United Kingdom

8. Vanderbilt University Medical Center, Nashville, TN

9. University of Nebraska Medical Center, Omaha, NE

10. National Cancer Institute, Bethesda, MD

11. Department of Biomedical Informatics, Columbia University, New York City, NY