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KMID : 1161220220650060272
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Clinical and Experimental Pediatrics
2022 Volume.65 No. 6 p.272 ~ p.282
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Big data analysis and artificial intelligence in epilepsy - common data model analysis and machine learning-based seizure detection and forecasting
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Chung Yoon-Gi
Jeon Yong-Hoon
Yoo Soo-Young
Kim Hun-Min
Hwang Hee
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Abstract
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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.
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KEYWORD
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Big data analysis, Artificial intelligence, Machine learning, Deep learning, Epilepsy
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