Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning
Andrew Hall, Bradley W. Weaver, Eric M. Liotta, Matthew B. Maas, Roland Faigle, Daniel K. Mroczek, Andrew M. Naidech
Topics & Concepts
MedicineGlasgow Coma ScaleIntracerebral hemorrhageModified Rankin ScaleIntraventricular hemorrhageOutcome (game theory)HematomaRandom forestDecision treeInternal medicineEmergency medicineSurgeryMachine learningComputer scienceMathematicsIschemiaPregnancyBiologyIschemic strokeMathematical economicsGeneticsGestational ageIntracerebral and Subarachnoid Hemorrhage ResearchAcute Ischemic Stroke ManagementTraumatic Brain Injury and Neurovascular Disturbances