BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Abstract: Chronic Kidney Disease (CKD) remains a critical health issue on a global scale, often progressing undiagnosed until advanced stages. In this research, a machine learning (ML)-based ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
The final, formatted version of the article will be published soon. Abstract Bottom-up syntheses of graphene nanoribbons have gathered considerable research interest because of their electronic ...
Purpose: To develop and interpret a clinical prediction model for identifying children at risk of poor 5-year axial length (AL) control following orthokeratology (Ortho-K) lens wear, integrating ...
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