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

AI applications in genomics and pathology informatics, including ‘Generative AI’ (2) Natural Language Processing (551) Machine Learning (1186) Computer-Aided Diagnosis (62) Clinical Information and Decision Making (1108) Decision Support for Health Professionals (921) Electronic Health Records (866) Surveillance Systems (395) Secondary Use of Clinical Data for Research and Surveillance (268)

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 Wendelboe 1 Author Orcid Image ;   Ibrahim Saber 2 Author Orcid Image ;   Justin Dvorak 1 Author Orcid Image ;   Alys Adamski 3 Author Orcid Image ;   Natalie Feland 1 Author Orcid Image ;   Nimia Reyes 3 Author Orcid Image ;   Karon Abe 3 Author Orcid Image ;   Thomas Ortel 2 Author Orcid Image ;   Gary Raskob 1 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Jin Z, Zhang H, Tai M, Yang Y, Yao Y, Guo Y. Natural Language Processing in a Clinical Decision Support System for the Identification of Venous Thromboembolism: Algorithm Development and Validation. Journal of Medical Internet Research 2023;25:e43153 View