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Random Forest–Based Prediction of Outcome and Mortality in Patients with Traumatic Brain Injury Undergoing Primary Decompressive Craniectomy

Martin Hanko, Marian Grendár, Pavol Snopko, René Opšenák, Juraj Šutovský, Martin Benčo, Jakub Soršák, Kamil Zeleňák, Branislav Kolarovszki

2021World Neurosurgery76 citationsDOI

Topics & Concepts

Decompressive craniectomyMedicineTraumatic brain injuryGlasgow Outcome ScaleOutcome (game theory)Random forestSurgeryMortality rateReceiver operating characteristicGlasgow Coma ScaleInternal medicineMachine learningMathematical economicsComputer sciencePsychiatryMathematicsTraumatic Brain Injury and Neurovascular DisturbancesTrauma and Emergency Care StudiesArtificial Intelligence in Healthcare and Education
Random Forest–Based Prediction of Outcome and Mortality in Patients with Traumatic Brain Injury Undergoing Primary Decompressive Craniectomy | Litcius