Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...
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Build logistic regression in Python from scratch easily
Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from ...
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...
Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times, disproportionately affecting women and children. Although the magnitude ...
Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to epidemiological and behavioural factors; however, the biological effects of forced ...
Background In May 2020, England banned menthol as a characterising flavour in cigarettes. However, the sale of menthol accessories (eg, filters, flavour cards) remains permitted. This study assessed ...
Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
Abstract: Data island effectively blocks the practical application of machine learning. To meet this challenge, a new framework known as federated learning was created. It allows model training on a ...
Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
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