Weak supervision as an efficient approach for automated seizure detection in electroencephalography
Abstract Automated seizure detection from electroencephalography (EEG) would improve the quality of patient care while reducing medical costs, but achieving reliably high performance across patients has proven difficult. Convolutional Neural Networks (CNNs) show promise in addressing this problem, b...
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Main Authors: | Khaled Saab, Jared Dunnmon, Christopher Ré, Daniel Rubin, Christopher Lee-Messer |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
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Online Access: | https://doaj.org/article/ff53b21a684b46adb56f53e342154ca4 |
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