This paper is in the following e-collection/theme issue:

AI applications in genomics and pathology informatics, including ‘Generative AI’ (8) Natural Language Processing (692) Machine Learning (1465) Computer-Aided Diagnosis (128) Clinical Information and Decision Making (1407) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Surveillance Systems (462) Secondary Use of Clinical Data for Research and Surveillance (366)

Published on in Vol 3, No 1 (2022): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36877, first published .
Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study

Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study

Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study

Authors of this article:

Aaron Wendelboe1 Author Orcid Image ;   Ibrahim Saber2 Author Orcid Image ;   Justin Dvorak1 Author Orcid Image ;   Alys Adamski3 Author Orcid Image ;   Natalie Feland1 Author Orcid Image ;   Nimia Reyes3 Author Orcid Image ;   Karon Abe3 Author Orcid Image ;   Thomas Ortel2 Author Orcid Image ;   Gary Raskob1 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Aaron Wendelboe   1 , PhD ;   Ibrahim Saber   2 , MD ;   Justin Dvorak   1 , PhD ;   Alys Adamski   3 , PhD ;   Natalie Feland   1 , RN ;   Nimia Reyes   3 , MD ;   Karon Abe   3 , PhD ;   Thomas Ortel   2 , MD, PhD ;   Gary Raskob   1 , PhD

1 Department of Biostatistics and Epidemiology, Hudson College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States

2 Division of Hematology, Department of Medicine, Duke University, Durham, NC, United States

3 Division of Blood Disorders, National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA, United States

Corresponding Author:

  • Aaron Wendelboe, PhD
  • Department of Biostatistics and Epidemiology
  • Hudson College of Public Health
  • University of Oklahoma Health Sciences Center
  • CHB Room 301
  • 801 NE 13th Street
  • Oklahoma City, OK, 73104
  • United States
  • Phone: 1 405 271 2229 ext 57897
  • Email: Aaron-Wendelboe@ouhsc.edu