
Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study
Author(s) -
Aaron M. Wendelboe,
Ibrahim Saber,
Justin Dvorak,
Alys Adamski,
Natalie Feland,
Nimia Reyes,
Karon Abe,
Thomas L. Ortel,
Gary E. Raskob
Publication year - 2022
Publication title -
jmir bioinformatics and biotechnology
Language(s) - English
Resource type - Journals
ISSN - 2563-3570
DOI - 10.2196/36877
Subject(s) - medicine , venous thromboembolism , medical record , artificial intelligence , identification (biology) , medical emergency , machine learning , emergency medicine , natural language processing , computer science , botany , biology , thrombosis