Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations

Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations

Predictions of patient outcomes after a given therapy are fundamental to medical practice. We employ a machine learning approach towards predicting the outcomes after stereotactic radiosurgery for cerebral arteriovenous malformations (AVMs). Using three prospective databases, a machine learning appr...

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Bibliographic Details
Main Authors: Oermann, Eric Karl, Rubinsteyn, Alex, Ding, Dale, Mascitelli, Justin, Starke, Robert M., Bederson, Joshua B., Kano, Hideyuki, Lunsford, L. Dade, Sheehan, Jason P., Hammerbacher, Jeffrey, Kondziolka, Douglas
Format: Online
Language:English
Published: Nature Publishing Group 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746661/

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4746661/

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