Seizure forecasting using machine learning models trained by seizure diaries

被引：0
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作者：
Gleichgerrcht, Ezequiel [1 ]
Dumitru, Mircea [2 ]
Hartmann, David A. [3 ]
Munsell, Brent C. [4 ]
Kuzniecky, Ruben [5 ]
Bonilha, Leonardo [6 ]
Sameni, Reza [2 ]
机构：
[1] Department of Neurology, Medical University of South Carolina, Charleston,SC, United States
[2] Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta,GA, United States
[3] Department of Neurology & Neurological Sciences, Stanford University School of Medicine, Stanford,CA, United States
[4] Department of Computer Science, University of North Carolina, Chapel Hill,NC, United States
[5] School of Medicine at Hofstra/Northwell, Hempstead,NY, United States
[6] Department of Neurology, School of Medicine, Emory University, Atlanta,GA, United States
来源：
Physiological Measurement | 2022年 / 43卷 / 12期
关键词：
Accurate prediction - Bayesian inference - Forecasting models - Machine learning models - Machine-learning - Quality of life - Refractory epilepsy - Seizure forecasting - Support vector machine regressions - Uncertainty;
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