Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Objective: The aim of this study was to analyse the clinical characteristics and related risk factors of Pediatric Sepsis, construct a column-line diagram model to predict the likelihood of Pediatric ...

🫀 A machine learning project using logistic regression to predict heart disease risk from clinical data. Built with Python, scikit-learn, and Jupyter notebooks. Achieves 85%+ accuracy on 303-patient ...

We present a novel quantum high-dimensional linear regression algorithm with an ℓ1ℓ1-penalty based on the classical LARS (Least Angle Regression) pathwise algorithm. Similarly to available classical ...

Apple TV+ announced on Friday that the Emmy-winning comedy will return for a fourth season. Jason Sudeikis will be back to reprise the title role. By Jeremy Egner “Ted Lasso” fans who continued to ...

Feature selection plays a crucial role in statistical learning by helping models focus on the most relevant predictors while reducing complexity and enhancing interpretability. Lasso regression has ...

ABSTRACT: Continuous groundwater quality monitoring poses significant challenges affecting the environment and public health. Groundwater in Abidjan, specifically from the Continental Terminal (CT), ...

1 Tata Consultancy Services, Charlotte, NC, USA. 2 Mitaja Corportaion, Woodlawn, MD, USA. 3 Adobe, Seattle, WA, USA. 4 Microsoft, Charlotte, NC, USA. 5 Ally Financial Inc, Charlotte, NC, USA. The ...

Abstract: Alzheimer's disease (AD) is the leading neurodegenerative disorder worldwide, significantly impacting morbidity, disability, and mortality rates. This study aims to enhance the early ...