Predicting Space Radiation Single Ion Exposure in Rodents: A Machine Learning Approach

This study presents a data-driven machine learning approach to predict individual Galactic Cosmic Radiation (GCR) ion exposure for (4)He, (16)O, (28)Si, (48)Ti, or (56)Fe up to 150 mGy, based on Attentional Set-shifting (ATSET) experimental tests. The ATSET assay consists of a series of cognitive pe...

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Detalles Bibliográficos
Autores principales: Prelich, Matthew T., Matar, Mona, Gokoglu, Suleyman A., Gallo, Christopher A., Schepelmann, Alexander, Iqbal, Asad K., Lewandowski, Beth E., Britten, Richard A., Prabhu, R. K., Myers, Jerry G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555470/
https://www.ncbi.nlm.nih.gov/pubmed/34720896
http://dx.doi.org/10.3389/fnsys.2021.715433

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555470/
https://www.ncbi.nlm.nih.gov/pubmed/34720896
http://dx.doi.org/10.3389/fnsys.2021.715433

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