The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...
In a large Japanese birth cohort, cesarean delivery was not linked to higher risks of eczema, wheezing, atopic dermatitis, or ...
Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.
Introduction Low‐ and middle-income countries (LMICs) suffer the highest rates of death and disability due to emergency ...
Bhangu, J. , Sweetman, S. , Williams, G. and Shuttleworth, G. (2025) Patient Footwear Contamination in Ophthalmic Day Surgery: A Prospective Observational Study. International Journal of Clinical ...
The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.
Clinician-Identified Health Characteristics and Palliative Care Eligibility: Is Dementia Overlooked?
Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...
Objectives Disease activity assessment is important for Crohn’s disease (CD) management, since it involves the initial and subsequent therapeutic schedule. The purpose of this study is to identify a ...
Abstract: Outsourcing logistic regression classification services to the cloud is highly beneficial for streaming data. However, it raises critical privacy concerns for the input data and the training ...
Carlos Alcaraz is a walking tennis highlight reel, but the two seconds that best explain his brilliance on grass don’t involve him hitting the ball at all. A few times each match, Alcaraz will end up ...
Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...
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