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Prediction of IDH1 Mutation Status in the Glioblastoma Using the Machine Learning Technique Based on the Quantitative Radiomic Data.

07:00 EST 5th February 2019 | BioPortfolio

Summary of "Prediction of IDH1 Mutation Status in the Glioblastoma Using the Machine Learning Technique Based on the Quantitative Radiomic Data."

Isocitrate dehydrogenase 1 (IDH1) mutation status is an independent favourable prognostic factor for glioblastoma (GBM) and is usually determined by sequencing or immunohistochemistry. An accurate prediction of IDH1 mutation status via noninvasive methods helps establish the appropriate treatment strategy. We aimed to predict IDH1 mutation status using quantitative radiomic data in patients with GBM.

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This article was published in the following journal.

Name: World neurosurgery
ISSN: 1878-8769
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A MACHINE LEARNING paradigm used to make predictions about future instances based on a given set of unlabeled paired input-output training (sample) data.

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