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

Computer-Aided Diagnosis (281) Mobile Health (mhealth) (3678) Methods and Instruments in Medical Informatics (220) Wearable Devices and Sensors (1220) Fitness Trackers and Smart Pedometers/Accelerometers (695) Digital Biomarkers and Digital Phenotyping (329)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69328, first published .
Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study

Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study

Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study

Authors of this article:

Jeong-Kyun Kim1 Author Orcid Image ;   Sujeong Mun1 Author Orcid Image ;   Siwoo Lee1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Journals

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  2. Liu J, Sun P, Yuan Y, Chen Z, Tian K, Gao Q, Li X, Xia L, Zhang J, Xu N. YOLOv12 Algorithm-Aided Detection and Classification of Lateral Malleolar Avulsion Fracture and Subfibular Ossicle Based on CT Images: Multicenter Study. JMIR Medical Informatics 2025;13:e79064 View
  3. Ramos-Nino M. Operationalizing Chronic Inflammation: An Endotype-to-Care Framework for Precision and Equity. Clinics and Practice 2025;15(12):233 View
  4. Fan H, Wu Z, Zhao J, Kou J, Xu Q. Circadian rhythms in ischemic stroke: From pathogenesis to chronotherapy. Sleep Medicine 2026;141:108825 View
  5. Tsai T, Hong C, Cheng H, Yang C, Tunçbağ N. IHIT-BED: an interpretable transformer approach using unbiased hematology analyzer impedance data for early identification of bacteremia in emergency department. Bioinformatics Advances 2026;6(1) View
  6. Hughes A, Taylor D, Morris P, Brittain E. Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention. European Heart Journal 2026 View