Exploring nationwide patterns of sleep problems from late adolescence to adulthood using machine learning24-09-2025Sleep problems among young adults pose a major public health challenge. Leveraging nationwide health surveys and registers from Denmark, we investigated patterns of sleep problems from late adolescence to adulthood and explored early life-course determinants. We generated life-course embeddings using unsupervised machine learning on data from 2.2 million individuals born from 1980 to 2015. We used this landscape to identify neighboring factors of sleep problems. We observed a substantial...
WN-Sleep: Modeling Whole-Night Data for Improved Sleep Staging Classification24-09-2025Sleep staging, crucial for diagnosing sleep disorders, requires precise recognition of physiological signals within 30-second epochs, a task fundamentally different from managing long-term semantic dependencies in natural language processing (NLP). Our model aims to refine the integration of local and global features for more accurate sleep stage classification. Following the American Academy of Sleep Medicine (AASM) guidelines, it focuses on rigorous intra-epoch feature extraction to ensure...
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Illness perception in patients with D.M. type II in Cambodia
This research is a qualitative study of illness perception in patients registered in a clinic in a rural area in Cambodia (Cambodia-Dutch Organization). All patients in the clinic with Diabetes...
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