Applying interpretable machine learning workflow to evaluate exposure-response relationships for large‐molecule oncology drugs
Abstract The application of logistic regression (LR) and Cox Proportional Hazard (CoxPH) models are well‐established for evaluating exposure-response (E-R) relationship in large molecule oncology drugs. However, applying machine learning (ML) models on evaluating E-R relationships has not been widel...
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| フォーマット: | 図書 |
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Wiley,
2022-12-01T00:00:00Z.
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| 請求記号: |
A1234.567 |
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| 所蔵 1 | 利用可 |