Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data

10/06/2019 ∙ by Haotian Liu, et al. ∙ 0 ∙ share

The prediction of epileptic seizure has always been extremely challenging in medical domain. However, as the development of computer technology, the application of machine learning introduced new ideas for seizure forecasting. Applying machine learning model onto the predication of epileptic seizure could help us obtain a better result and there have been plenty of scientists who have been doing such works so that there are sufficient medical data provided for researchers to do training of machine learning models.

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Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data

Authors

Characterizing machine learning process: A maturity framework

Position Paper: Towards Transparent Machine Learning

Model Cards for Model Reporting

Risk Assessment for Machine Learning Models

Applications of deep learning in stock market prediction: recent progress

Applying Deep Learning to Basketball Trajectories

Certified Data Removal from Machine Learning Models

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