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Updated: Jun 14, 2025

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

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增加的连贯性预测了叶患者在单一治疗中的医疗折射性

Sungeun Hwang1, Youmin Shin2,3, Jun-Sang Sunwoo4

  • 1Department of Neurology, Ewha Womans University Mokdong Hospital, Seoul, Republic of Korea.

Scientific reports
|September 3, 2024
PubMed
概括

早期识别耐火性至关重要. 对脑电图 (EEG) 数据的机器学习分析有效地预测了耐药叶 (TLE),使得及时的手术干预成为可能.

关键词:
电脑电图 (电脑电图) 是一种脑电图.机器学习是机器学习.优化了功能选择的优化.预测 预测 预测耐火性是一种耐药性.时间叶发作 时间叶.

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