Using Machine Learning (ML) Models to Predict Risk of Venous Thromboembolism (VTE) Following Spine Surgery

Katiyar, P., Chase, H., Lenke, L. G., Weidenbaum, M., & Sardar, Z. M. (2023). Using Machine Learning (ML) Models to Predict Risk of Venous Thromboembolism (VTE) Following Spine Surgery. Clinical Spine Surgery: A Spine Publication, 36(10), E453–E456. https://doi.org/10.1097/bsd.0000000000001498
Authors:
Prerana Katiyar
Herbert Chase
Lawrence G. Lenke
Mark Weidenbaum
Zeeshan M. Sardar
Affiliated Authors:
Prerana Katiyar
Herbert Chase
Lawrence G. Lenke
Mark Weidenbaum
Zeeshan M. Sardar
Columbia Affiliation:
Subjects:
Venous Thromboembolism (MeSH)
Author Keywords:
artificial intelligence
deep vein thrombosis
dvt
machine learning
pe
pulmonary embolism
spine surgery outcomes
venous thromboembolism
vte
elink
Publication Type:
Article
Unique ID:
10.1097/BSD.0000000000001498
PMID:
37482644
DOI:
10.1097/BSD.0000000000001498
Journal:
Clinical Spine Surgery
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View PubMed Record

Record Created: