Wart-Treatment Efficacy Prediction Using a CMA-ES-Based Dendritic Neuron Model

Wart-Treatment Efficacy Prediction Using a CMA-ES-Based Dendritic Neuron Model

Warts are a prevalent condition worldwide, affecting approximately 10% of the global population. In this study, a machine learning method based on a dendritic neuron model is proposed for wart-treatment efficacy prediction. To prevent premature convergence and improve the interpretability of the mod...

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Bibliographic Details
Main Authors: Shuangbao Song, Botao Zhang, Xingqian Chen, Qiang Xu, Jia Qu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
dendritic neuron model
CMA-ES
wart treatment
machine learning
computer-aided diagnosis
Online Access:https://www.mdpi.com/2076-3417/13/11/6542

Internet

https://www.mdpi.com/2076-3417/13/11/6542

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