Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells
The emergence of new technologies to incorporate and analyze data with high-performance computing has expanded our capability to accurately predict any incident. Supervised Machine learning (ML) can be utilized for a fast and consistent prediction, and to obtain the underlying pattern of the data be...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-06-01
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| Series: | International Journal of Environmental Research and Public Health |
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| Online Access: | https://www.mdpi.com/1660-4601/17/12/4595 |