{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T04:05:31Z","timestamp":1751342731787,"version":"3.41.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686004","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T00:00:00Z","timestamp":1750896000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,26]]},"abstract":"<jats:p>Background: Sleep disturbances are a major issue, nowadays, make the whole scientific community to be alert, utilizing machine learning techniques to predict its underlying determinants. Objective: The main purpose of this paper is to test the accuracy of machine learning algorithms in interpretation of sleep problems. Methods: A public dataset was used and multiple feature selection techniques were addressed to identify the most influential predictors in sleep disturbances. Explainable AI was used to further interpret how each predictor impacts individual predictions. Results: Results from model performance show that AdaBoost outperformed other models (71.27% accuracy) and sleep quality is the dominant predictor (with SHAP value 0.01586), indicating the strongest influence on model. Conclusion: The incorporation of explainable AI methods (e.g., SHAP) enhances the clinical and public health value of these models, enabling healthcare providers to target specific interventions and potentially improve patients\u2019 sleep health outcomes.<\/jats:p>","DOI":"10.3233\/shti250682","type":"book-chapter","created":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T08:21:20Z","timestamp":1751271680000},"source":"Crossref","is-referenced-by-count":0,"title":["A Multi-Method Machine Learning Analysis of Sleep Disturbances\u2019 Determinants During COVID-19"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5832-7915","authenticated-orcid":false,"given":"Paschalina","family":"Lialiou","sequence":"first","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"},{"name":"Faculty of Nursing, School of Health Sciences, National and Kapodistrian University of Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1972-1556","authenticated-orcid":false,"given":"Eleftherios","family":"Vouzis","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2860-399X","authenticated-orcid":false,"given":"Ilias","family":"Maglogiannis","sequence":"additional","affiliation":[{"name":"Department of Digital Systems, University of Piraeus, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3051-1819","authenticated-orcid":false,"given":"John","family":"Mantas","sequence":"additional","affiliation":[{"name":"Faculty of Nursing, School of Health Sciences, National and Kapodistrian University of Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI250682","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T08:21:20Z","timestamp":1751271680000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI250682"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,26]]},"ISBN":["9781643686004"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti250682","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,6,26]]}}}