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The work is published as a peer-reviewed version in the Journal of Clinical Sleep Medicine, with article metadata including volume and pages and a permanent DOI identifier. The manuscript includes defined contributions from multiple co-first authors, disclosure statements, and summaries of tables and figures, supporting reproducible clinical research reporting.","EUR Research Information Portal  \nSupervised machine learning on electrocardiography features to classify sleep in noncritically ill children  \nPublished in:  \nJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine  \nPublication status and date:  \nPublished: 01/02/2025  \nDOI (link to publisher):  \n10.5664/jcsm.11358  \nDocument Version  \nPeer reviewed version  \nDocument License/Available under:  \nArticle 25fa Dutch Copyright Act  \nCitation for the published version (APA):  \nvan Twist, E. , Meester, A. M. , Cramer, A. B. G. , de Hoog, M. , Schouten, A. C. , Verbruggen, S. C. A. T. , Joosten, K. F. M. , Louter, M. , Straver, D. C. G. , Tax, D. M. J. , de Jonge, R. C. J. , & Kuiper, J. W. (2025) . Supervised machine learning on electrocardiography features to classify sleep in noncritically ill children. Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 21(2), 261-268 . [https://doi.org/10.5664/jcsm.11358](https://doi.org/10.5664/jcsm.11358)  \nLink to publication on the EUR Research Information Portal  \nTerms and Conditions of Use  \nExcept as permitted by the applicable copyright law, you may not reproduce or make this material available to any third party without the prior written permission from the copyright holder(s) . 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In case of a legitimate complaint, we will make the material inaccessible and/or remove it from the website.  \nDownloaded from jcsm. .aasm org by Jason Wilbanks JCSM 13 Account on December 1 1, 2024. For personal use only . No other uses without permission . Copyright 2024 American Academy of Sleep Medicine . All rights reserved .  \nThe Journal of Clinical Sleep Medicine is dedicated to advancing the science of clinical sleep medicine. In order to provide subscribers with access to new scientific developments as early as possible, papers are posted prior to their final publication in an issue.  \nThese papers undergo minor formatting for readability but are otherwise posted as accepted—without copyediting or final formatting by the publisher. In some instances, substantial changes are made during the copyediting and formatting processes; therefore, the final version of the paper may differ significantly from this version.  \nUnless indicated otherwise, all papers are copyright of the American Academy of Sleep Medicine. No paper in whole or in part may be used in any form without written permission from the American Academy of Sleep Medicine.  \nMedia & Public Relations: Embargo Policy  \nA submitted paper is embargoed until it is posted as an “accepted paper” on the journal website. At that time, the paper is no longer embargoed and may be promoted before its final publication in an issue. Although the full text of an accepted paper is available to subscribers only, the abstract is available to the public. The DOI number is a permanent identifier for the article, and the DOI link below should be used in a press release to link to the study. Please contact the public relations department of the American Academy of Sleep Medicine with any questions at [media@aasm.org](media@aasm.org) or 630-737-9700.  \n[h","cbCaigzVAqPi27Ra","https://ap.wps.com/l/cbCaigzVAqPi27Ra","pdf",826040,5,1,19,"English","en",105,"# Abstract\n## Publication details\n## Author contributions and affiliations\n## Disclosure statement\n## Tables and figures\n## Journal policies","[{\"question\":\"What method is used for sleep classification in non-critically ill children?\",\"answer\":\"The study uses supervised machine learning based on electrocardiography (ECG) features to classify sleep.\"},{\"question\":\"Where is the article published and how can it be uniquely identified?\",\"answer\":\"It is published in the Journal of Clinical Sleep Medicine (JCSM), and the DOI 10.5664/jcsm.11358 serves as a permanent identifier.\"},{\"question\":\"What publication status and reporting elements are included in the manuscript page?\",\"answer\":\"The text 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