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

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

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.

Afiliação

Prelich MT; NASA Glenn Research Center, Cleveland, OH, United States.
Matar M; NASA Glenn Research Center, Cleveland, OH, United States.
Gokoglu SA; NASA Glenn Research Center, Cleveland, OH, United States.
Gallo CA; NASA Glenn Research Center, Cleveland, OH, United States.
Schepelmann A; ZIN Technologies, Inc., Cleveland, OH, United States.
Iqbal AK; ZIN Technologies, Inc., Cleveland, OH, United States.
Lewandowski BE; NASA Glenn Research Center, Cleveland, OH, United States.
Britten RA; Department of Radiation Oncology, Eastern Virginia Medical School, Norfolk, VA, United States.
Prabhu RK; Universities Space Research Association, Cleveland, OH, United States.
Myers JG; NASA Glenn Research Center, Cleveland, OH, United States.

Front Syst Neurosci ; 15: 715433, 2021.

Article em En | MEDLINE | ID: mdl-34720896

Palavras-chave

Gaussian naive Bayes; cognitive impairment; imbalanced datasets; machine learning; radiation research; rodent studies; space radiation; support vector machine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Syst Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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