Representation learning for clinical time series prediction tasks in electronic health records
Dataset generation: heart failure selection The EHR data used in this paper is collected from the Shuguang Hospital which is...
Learning methods
Class curricula should be inclusive of all learning styles
Many students and teachers have heard of the concept of “learning styles” and may even be able to say whether...
Benchmarking deep learning methods for biologically conserved single-cell integration
A unified benchmarking framework for single-cell integrationTo systematically evaluate various loss functions, we established a unified benchmarking framework wherein all...
Machine learning-based personalized training models for optimizing marathon performance through pyramidal and polarized training intensity distributions
Study design and ethicsAll experimental procedures adhered to the Declaration of Helsinki standards and received approval from Hanyang University’s Institutional...
Prevalence, associated factors, and machine learning-based prediction of probable depression among individuals with chronic diseases in Bangladesh | BMC Psychiatry
World Health Organization (WHO). Noncommunicable diseases. 23 Dec 2024 . Available: https://www.who.int/news-room/fact-sheets/detail/noncommunicable-diseasesWorld Health Organization (WHO). The top 10 causes of...
Can Complementary Learning Methods Teach AI the Laws of War?
Davit Khachatryan is an international lawyer and lecturer focusing on the intersection of armed conflict, emerging technologies, and international law. ...
