Preoperative and postoperative prediction of long-term meningioma outcomes

BACKGROUND: Meningiomas are stratified according to tumor grade and extent of resection, often in isolation of other clinical variables. Here, we use machine learning (ML) to integrate demographic, clinical, radiographic and pathologic data to develop predictive models for meningioma outcomes. METHO...

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Dettagli Bibliografici
Pubblicato in:PLoS One
Autori principali: Gennatas, Efstathios D., Wu, Ashley, Braunstein, Steve E., Morin, Olivier, Chen, William C., Magill, Stephen T., Gopinath, Chetna, Villaneueva-Meyer, Javier E., Perry, Arie, McDermott, Michael W., Solberg, Timothy D., Valdes, Gilmer, Raleigh, David R.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Public Library of Science 2018
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Research Article
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6147484/
https://ncbi.nlm.nih.gov/pubmed/30235308
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0204161
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