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 ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Objectives Cardiovascular diseases (CVDs) are a leading cause of mortality in Nepal. Risk perception is crucial for the prevention of CVD-related behaviours. This study assessed CVD risk perceptions ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Objectives Glaucoma is an optic neuropathy caused by the gradual degeneration of retinal ganglion cells. This study aimed to investigate the knowledge, attitude and practice (KAP) towards glaucoma ...

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 ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...