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Article

Application of Machine Learning to the Prediction of Cancer-Associated Venous Thromboembolism

2023-05-08

Abstract excerpt

<title>Abstract</title> <p>Venous thromboembolism (VTE) is a common and impactful complication of cancer. Several clinical prediction rules have been devised to estimate the risk of a thrombotic event in this patient population, however they are associated with limitations. We aimed to develop a predictive model of cancer-associated VTE using machine learning as a means to better integrate all available data, imp...

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Literature Corpus work
0d23077f-2f2a-57c9-b3e5-5f5008061e56
DOI
10.21203/rs.3.rs-2870367/v1
Open publication

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Application of Machine Learning to the Prediction of Cancer-Associated Venous ThromboembolismDOI 10.21203/rs.3.rs-2870367/v1
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