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Machine Learning for Outcome Prediction and Rehabilitation in Hemorrhagic Stroke: Systematic Review

Author:Nagoke, Simranjeet   Agarwal, Aditi   Panjiyar, Binay   Mann, Govind   Kotharu, Sai Venkata Manoj   

Session Name:P11: Cerebrovascular Disease and Interventional Neurology: Intracerebral Hemorrhage  

Topic:Cerebrovascular Disease and Interventional Neurology  

Program Number:P11.013  

Author Institution:Government Medical College Jammu, Peoria, IL, India  Department of Medicine, Bharati Vidyapeeth University Medical College, Pune, India., NEW DELHI, India  Texas Tech University, Queens, NY  Sant Parmanand Hospital, Delhi, India  Osmania Medical College, Hyderabad, hyderbad, India  

Machine Learning Model Predicting Presence of Leptomeningeal Metastasis

Author:Rilinger, Ryan   Lobbous, Mina   Lucas, Alyssa   Malkin, Mark   Peereboom, David   Stevens, Glen   Torres-Trejo, Alejandro   Dhawan, Andrew   

Session Name:S13: Neuro-oncology: Advances in Diagnosis and Treatments  

Topic:Neuro-oncology  

Program Number:S13.004  

Author Institution:Cleveland Clinic Lerner College of Medicine, Cleveland, OH  Cleveland Clinic, Cleveland, OH  Cleveland Clinic, Lakewood, OH  

Machine Learning Models for Mortality and Readmission in Encephalopathy: Performance and Pitfalls From a Large ICU Cohort

Author:Vasireddy, Sindhu   Biswas, Shankar   Krishnan, Elangovan   Srivastava, Yashasvi   Hamadttu, Ayman   Castellanos, Jeimy Marilyn   

Session Name:P6: Neurocritical Care: Neuromonitoring and Neurotechnologies  

Topic:Neurocritical Care  

Program Number:P6.009  

Author Institution:NMC Speciality Hospital, Abu Dhabi, United Arab Emirates  Ivano-Frankivsk National medical university, Ivano-Frankivsk, Ukraine  university of louisville, louisville, KY  Sudan University of Science and Technology, Khartoum, Sudan  Universidad Autonoma del Estado de Quintana Roo, Chetumal, Mexico  

Machine Learning Models to Predict Withdrawal of Life-sustaining Therapy in Patients With Severe Traumatic Brain Injury

Author:Cobler-Lichter, Michael   Delamater, Jessica   Jacinto Pereira Teixeira, Fernanda   Reyes, Ana   Arcieri, Talia   Manolovitz, Brian   McKeown, John   Toru-Sengul, Tulay   Jagid, Jonathan   Graciolli, Joacir   Massad, Nina   Kottapally, Mohan   Merenda, Amedeo   O'Phelan, Kristine   Namias, Nicholas   Alkhachroum, Ayham   

Session Name:S21: Neurocritical Care  

Topic:Neurocritical Care  

Program Number:S21.003  

Author Institution:University of Miami, FL  University of Miami, Miami, FL  University of Miami, New York, NY  

Machine Learning Prediction of Reversible Versus Progressive Cognitive Impairment Using Clinical Documentation

Author:Pressman, Peter   

Session Name:P10: Aging, Dementia, and Behavioral Neurology: Perspectives in Non-Alzheimer's Disease Diagnostics 7  

Topic:Aging, Dementia, and Behavioral Neurology  

Program Number:P10.014  

Author Institution:Oregon Health & Science University, Portland, OR