Seizure forecasting using machine learning models trained by seizure diaries

被引：0

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;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

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