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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147484/
https://www.ncbi.nlm.nih.gov/pubmed/30235308
http://dx.doi.org/10.1371/journal.pone.0204161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147484/
https://www.ncbi.nlm.nih.gov/pubmed/30235308
http://dx.doi.org/10.1371/journal.pone.0204161

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