Interpretable machine learning methods for in vitro pharmaceutical formulation development
Abstract Background Machine learning has become an alternative approach for pharmaceutical formulation development. However, many machine learning applications in pharmaceutics only focus on model performance rather than model interpretability. Aim This study aims to propose an attention‐based deep...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-06-01
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| Series: | Food Frontiers |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/fft2.78 |