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This paper is in the following e-collection/theme issue:

Machine Learning (2285) Decision Support for Health Professionals (1674) Insomnia and Sleep Hygiene (264) Artificial Intelligence (2432) Sleep Apnea (40)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80384, first published .
Machine Learning–Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation

Machine Learning–Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation

Machine Learning–Based Multidimensional Oximetry for Obstructive Sleep Apnea Screening: Development and External Validation

Authors of this article:

Xuanyu Qian1, 2 Author Orcid Image ;   Haitong Luo1 Author Orcid Image ;   Rong Ding3 Author Orcid Image ;   Tianming Gao4 Author Orcid Image ;   Haoan Wang1 Author Orcid Image ;   Pengliang Wu1 Author Orcid Image ;   Ning Li1, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations Metrics

Conference Proceedings

  1. B K, G N, P S, M S, S K, S M. 2026 5th International Conference on Sentiment Analysis and Deep Learning (ICSADL). Predicting Sleep Apnea Using Machine Learning: A Comparative Study Based on User Survey Data View