Medical College of Wisconsin
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Natural Language Processing tool accurately identifies acute venous thromboembolism. Thromb Res 2023 Sep;229:252-254

Date

08/19/2023

Pubmed ID

37595367

DOI

10.1016/j.thromres.2023.08.007

Scopus ID

2-s2.0-85168319687 (requires institutional sign-in at Scopus site)   1 Citation

Author List

Scott DM, Abud A, Amor M, Saemi A, Baumann Kreuziger L, Houghton D

Author

Lisa M. Baumann Kreuziger MD Associate Professor in the Medicine department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Humans
Natural Language Processing
Venous Thromboembolism
Venous Thrombosis