Big data analysis and artificial intelligence in epilepsy – common data model analysis and machine learning-based seizure detection and forecasting

Chung, Yoon Gi; Jeon, Yonghoon; Yoo, Sooyoung; Kim, Hunmin; Hwang, Hee

Clin Exp Pediatr. 2022 Jun;65(6):272-282. 10.3345/cep.2021.00766.

Big data analysis and artificial intelligence in epilepsy – common data model analysis and machine learning-based seizure detection and forecasting

Affiliations

¹Division of Pediatric Neurology, Department of Pediatrics, Seoul National University Bundang Hospital, Seongnam, Korea
²R&D Center, ezCaretech Co., Ltd., Seoul, Korea
³Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Korea
⁴Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea

KMID: 2530168
DOI: http://doi.org/10.3345/cep.2021.00766

Abstract

There has been significant interest in big data analysis and artificial intelligence (AI) in medicine. Ever-increasing medical data and advanced computing power have enabled the number of big data analyses and AI studies to increase rapidly. Here we briefly introduce epilepsy, big data, and AI and review big data analysis using a common data model. Studies in which AI has been actively applied, such as those of electroencephalography epileptiform discharge detection, seizure detection, and forecasting, will be reviewed. We will also provide practical suggestions for pediatricians to understand and interpret big data analysis and AI research and work together with technical expertise.

Keyword

Big data analysis; Artificial intelligence; Machine learning; Deep learning; Epilepsy

Big data analysis and artificial intelligence in epilepsy – common data model analysis and machine learning-based seizure detection and forecasting

Abstract

Keyword

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