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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| Main Authors: | , , , , , |
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| Format: | Book |
| Published: |
Wiley,
2023-08-01T00:00:00Z.
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