Recent Trends of Artificial Intelligence and Machine Learning for Insomnia Research
Chronobiology in Medicine 2021³â 3±Ç 1È£ p.16 ~ p.19
±è½Â¼ö(Kim Seung-Soo) - Soonchunhyang University Cheonan Hospital Department of Pediatrics
Abstract
Recently, the research using artificial intelligence (AI) have been actively conducted in various fields. In the sleep medicine, the research using an AI such as machine learning and deep learning have begun to increase explosively to keep pace with this trend of the times. The field where the most research is being done is the automation of diagnosis of obstructive sleep apnea syndrome and scoring of polysomnography. Studies using AI on insomnia also have shown a remarkable increase in recent years. In this paper, we look at the recent trends of insomnia research using AI and provide a milestone to researchers.
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Sleep Initiation and maintenance disorders, Artificial intelligence, Machine learning, Deep learning, Systematic review
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The most used algorithm was support vector machine (SVM), followed by decision tree and advanced tree (XGBoost, random forest) and ANN.