Coronary artery disease (CAD) is a leading global cause of mortality, yet the predictive accuracy of conventional risk models is limited. Here, we integrate conventional risk factors, polygenic risk ...
Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...
Machine learning models effectively predicted in-hospital mortality among intensive care unit patients with lymphoma, according to research. “Lymphoma is a severe condition with high mortality rates, ...
The effects of human recreation on wildlife may vary depending on the type of road and trail use that is occurring (e.g. see Naidoo and Burton, 2020). Classifying horses into finer sub-classes (e.g., ...
in a code analysis of the _catboost.pyx file I found some possible bugs in the initial lines. I will detail below: 1 - The xrange() function is being used, which is specific to Python 2. In Python 3, ...
ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...
Bladder cancer, when diagnosed at an advanced stage, often necessitates inevitable invasive intervention. Consequently, non-invasive biosensor-based cancer detection and AI-based precision screening ...
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