Automated machine learning in nanotoxicity assessment: A comparative study of predictive model performance
Computational modeling has earned significant interest as an alternative to animal testing of toxicity assessment. However, the process of selecting an appropriate algorithm and fine-tuning hyperparameters for the developing of optimized models takes considerable time, expertise, and an intensive se...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-12-01
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Series: | Computational and Structural Biotechnology Journal |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037024000278 |