Paper
28 August 2023 Breast cancer drug candidate screening based on ensemble learning algorithm
Zhuang Wang, Yu Cao, Chengyin Ye
Author Affiliations +
Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127240O (2023) https://doi.org/10.1117/12.2687387
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China
Abstract
For the current machine learning prediction model, there are problems such as low prediction accuracy of the pharmacokinetic properties of breast cancer candidate drugs, too many parameters of the neural network prediction model, and long training time. In this paper, we propose a lightweight multi-layer perceptual ensemble learning model based on imbalanced datasets to classify the pharmacokinetic properties of drug candidates. Experiments have proved that the proposed model is about 7% more accurate than the traditional machine learning model and 3% more accurate than the current advanced mainstream neural network model under the same public data set.
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Zhuang Wang, Yu Cao, and Chengyin Ye "Breast cancer drug candidate screening based on ensemble learning algorithm", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127240O (28 August 2023); https://doi.org/10.1117/12.2687387
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KEYWORDS
Machine learning

Breast cancer

Neural networks

Biological samples

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