Paper Details

Paper Title

ClotCatcher: a novel natural language model to accurately adjudicate venous thromboembolism from radiology reports.

Paper Journal Title

BMC Med Inform Decis Mak

Paper Citation Count

Paper Publication Year

2023

Bio Mention

VTE, patient, patients, venous thromboembolism

Mesh Descriptor

Hospitalization, Hospitals, University, Humans, Natural Language Processing, Radiology, Venous Thromboembolism

Author Name	Affiliation
Jeffrey Wang	Emory University School of Medicine
Joao Souza de Vale	Emory University School of Medicine
Saransh Gupta	Emory University School of Medicine
Pulakesh Upadhyaya	Emory University School of Medicine
Felipe A Lisboa	Uniformed Services University of the Health Sciences
Felipe A Lisboa	Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center
Felipe A Lisboa	Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Seth A Schobel	Uniformed Services University of the Health Sciences
Seth A Schobel	Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center
Seth A Schobel	Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc.
Eric A Elster	Uniformed Services University of the Health Sciences
Eric A Elster	Uniformed Services University of the Health Sciences and Walter Reed National Military Medical Center
Christopher J Dente	Uniformed Services University of the Health Sciences
Christopher J Dente	Emory University School of Medicine
Christopher J Dente	Grady Memorial Hospital
Timothy G Buchman	Uniformed Services University of the Health Sciences
Timothy G Buchman	Emory University School of Medicine
Timothy G Buchman
Rishikesan Kamaleswaran	Emory University School of Medicine
Rishikesan Kamaleswaran	Uniformed Services University of the Health Sciences

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