Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...
Although the vast majority of physicians using an artificial intelligence (AI) scribe perceived a reduction in documentation time, those with the most actual time savings had higher relative baseline ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Objectives Although breastfeeding is associated with lower postnatal depression and anxiety, limited research exists regarding long-term maternal mental health outcomes. This study examined the ...
Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...
Background Inflammatory bowel disease (IBD) arises from complex interactions among diet, host and gut microbiome. Although diet influences intestinal inflammation, the microbial and metabolic pathways ...
Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...
Linear regression, also called simple regression, is one of the most common techniques of regression analysis. Multiple regression is a broader class of regression analysis, which encompasses both ...
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