Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models DOI Open Access
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi

et al.

Published: Dec. 14, 2023

Sleep disorder is a disease that can be categorized as both an emotional and physical problem. It imposes several difficulties problems, such distress during the day, sleep-wake disorders, anxiety, other problems. Hence, main objective of this research to utilize strong capabilities machine learning in prediction sleep disorders. In specific, aims meet three objectives. These objectives are identify best regression model, classification strategy highly suits datasets. Considering two related datasets evaluation metrics tasks classification, results revealed superiority MultilayerPerceptron, SMOreg, KStar models compared with twenty-three models. Also, IBK, RandomForest, RandomizableFilteredClassifier showed superior performance belong strategies. Finally, Function predictive among six considered strategies respect most metrics.

Language: Английский

Potential of Machine Learning for Predicting Sleep Disorders: A Comprehensive Analysis of Regression and Classification Models DOI Open Access
Raed Alazaidah, Ghassan Samara, Mohammad Aljaidi

et al.

Published: Dec. 14, 2023

Sleep disorder is a disease that can be categorized as both an emotional and physical problem. It imposes several difficulties problems, such distress during the day, sleep-wake disorders, anxiety, other problems. Hence, main objective of this research to utilize strong capabilities machine learning in prediction sleep disorders. In specific, aims meet three objectives. These objectives are identify best regression model, classification strategy highly suits datasets. Considering two related datasets evaluation metrics tasks classification, results revealed superiority MultilayerPerceptron, SMOreg, KStar models compared with twenty-three models. Also, IBK, RandomForest, RandomizableFilteredClassifier showed superior performance belong strategies. Finally, Function predictive among six considered strategies respect most metrics.

Language: Английский

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