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机译:机器学习方法检测丘脑人前核焦点癫痫发作的方法
Department of Neurology University of Alabama at Birmingham CIRC 312 1719 6th Avenue South Birmingham AL 35294 United States of America Epilepsy and Cognitive Neurophysiology Laboratory University of Alabama at Birmingham Birmingham AL United States of America Shared first authors.;
Shared first authors. Centre for Computational Engineering and Networking (CEN) Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham India;
Department of Neurology University of Alabama at Birmingham CIRC 312 1719 6th Avenue South Birmingham AL 35294 United States of America Epilepsy and Cognitive Neurophysiology Laboratory University of Alabama at Birmingham Birmingham AL United States of America Shared first authors.;
Department of Neurosurgery University of Alabama at Birmingham Birmingham AL United States of America;
Department of Electronics and Communication Engineering Amrita School of Engineering Coimbatore Amrita Vishwa Vidyapeetham India;
Department of Neurology University of Alabama at Birmingham CIRC 312 1719 6th Avenue South Birmingham AL 35294 United States of America Epilepsy and Cognitive Neurophysiology Laboratory University of Alabama at Birmingham Birmingham AL United States of America;
Thalamus; seizure detection; epilepsy; machine learning;
机译:丘脑中丘脑在薄膜颞叶癫痫发作中的含义
机译:丘脑前核深部脑刺激中的刺激诱发的电子癫痫发作并不排除随后的有利治疗反应
机译:低频刺激丘脑双侧前核可抑制大鼠杏仁核样癫痫发作。
机译:使用机器学习模型为现代医疗保健系统检测癫痫发作的有效方法
机译:SNPREDICT:一种检测癌症低频变体的机器学习方法
机译:通过使用先进的参数优化方法使用强大的机器学习分类技术以不同的特征提取策略检测癫痫发作
机译:通过应用预先参数优化方法使用鲁棒机学习分类技术检测不同特征提取策略的癫痫癫痫发作