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An Investigation Screen for Sleep Disorders Using AI/ML

An Investigation Screen for Sleep Disorders Using AI/ML

Shilpa Hiremath, Chandra Prabha R., Sushil Kumar I.
Copyright: © 2021 |Pages: 23
ISBN13: 9781799880189|ISBN10: 1799880184|EISBN13: 9781799880196
DOI: 10.4018/978-1-7998-8018-9.ch009
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MLA

Hiremath, Shilpa, et al. "An Investigation Screen for Sleep Disorders Using AI/ML." Advancing the Investigation and Treatment of Sleep Disorders Using AI, edited by M. Rajesh Kumar, et al., IGI Global, 2021, pp. 161-183. https://doi.org/10.4018/978-1-7998-8018-9.ch009

APA

Hiremath, S., R., C. P., & I., S. K. (2021). An Investigation Screen for Sleep Disorders Using AI/ML. In M. Kumar, R. Kumar, & D. Vaithiyanathan (Eds.), Advancing the Investigation and Treatment of Sleep Disorders Using AI (pp. 161-183). IGI Global. https://doi.org/10.4018/978-1-7998-8018-9.ch009

Chicago

Hiremath, Shilpa, Chandra Prabha R., and Sushil Kumar I. "An Investigation Screen for Sleep Disorders Using AI/ML." In Advancing the Investigation and Treatment of Sleep Disorders Using AI, edited by M. Rajesh Kumar, Ranjeet Kumar, and D. Vaithiyanathan, 161-183. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-8018-9.ch009

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Abstract

In this chapter, the authors have discussed a detailed review on sleep, sleep disorders, and their diagnosis. This chapter provides an insight study of sleep, sleep illness characterized by The International Classification of Sleep Disorders (ICSD), factors affecting sleep, and types of sleep based on age group. Artificial intelligence and machine learning algorithms are also applied in recognizing sleep disorders based on EEG signal attributes. It also highlights the classification of insomnia using different classifiers such as support vector machine, decision tree, and deep neural network.

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