Jerry Yang

Conference Proceedings of Machine Learning Research · January 1, 2025 Sleep monitoring is essential for assessing overall health and managing sleep disorders, yet clinical adoption of consumer wearables remains limited due to inconsistent performance and scarce open source datasets and transparent codebase. In this study, we ... Cite

Addressing wearable sleep tracking inequity: a new dataset and novel methods for a population with sleep disorders

Conference Proceedings of Machine Learning Research · January 1, 2024 Sleep is crucial for health, and recent advances in wearable technology and machine learning offer promising methods for monitoring sleep outside the clinical setting. However, sleep tracking using wearables is challenging, particularly for those with irre ... Cite

Neurological Outcome Prediction After Cardiac Arrest: A Multi-Level Deep Learning Approach with Feature and Decision Fusion

Conference Computing in Cardiology · January 1, 2023 Cardiac arrest leads to complex neurological outcomes, demanding accurate predictions to guide post-arrest care. Using the International Cardiac Arrest Research Consortium (I-CARE) dataset, we developed models to discern between 'good' and 'poor' neurologi ... Full text Cite

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