Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning

Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning

Abstract Background The association between cancer and venous thromboembolism (VTE) is well‐established with cancer patients accounting for approximately 20% of all VTE incidents. In this paper, we have performed a comparison of machine learning (ML) methods to traditional clinical scoring models fo...

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Bibliographic Details
Main Authors: Samir Khan Townsley, Debraj Basu, Jayneel Vora, Ted Wun, Chen‐Nee Chuah, Prabhu R. V. Shankar
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:Health Care Science
Subjects:
binary classification
cancer
machine learning pipeline
VTE
Online Access:https://doi.org/10.1002/hcs2.55

Internet

https://doi.org/10.1002/hcs2.55

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