Practical guide to SHAP analysis: Explaining supervised machine learning model predictions in drug development
Abstract Despite increasing interest in using Artificial Intelligence (AI) and Machine Learning (ML) models for drug development, effectively interpreting their predictions remains a challenge, which limits their impact on clinical decisions. We address this issue by providing a practical guide to S...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-11-01
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| Series: | Clinical and Translational Science |
| Online Access: | https://doi.org/10.1111/cts.70056 |
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