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NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage
OBJECTIVE. The safe delivery of electrical current to neural tissue depends on many factors, yet previous methods for predicting tissue damage rely on only a few stimulation parameters. Here, we report the development of a machine learning approach that could lead to a more reliable method for predi...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614958/ https://www.ncbi.nlm.nih.gov/pubmed/37905012 http://dx.doi.org/10.1101/2023.10.18.562980 |