Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Introduction Implementing shared decision-making (SDM) in maternity care remains challenging in low-income and middle-income ...

Objective Unplanned hospital readmissions within 30 days of discharge measure the quality of healthcare. This study aims to ...

Results in a population of 278 patients affirm statistically significant mortality reductionsBenefits observed across severity groups and in subjects with serious comorbiditiesCompany files provisiona ...

Results in a population of 278 patients affirm statistically significant mortality reductionsBenefits observed across severity groups and in ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Objective To undertake a contemporary review of the impact of exercise based cardiac rehabilitation (ExCR) for patients with atrial fibrillation (AF). Data sources CENTRAL, MEDLINE, Embase, PsycINFO, ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

Role of the combination of 3 T whole-body MRI and 18F-FDG PET/CT in the management of multiple myeloma and smoldering myeloma: The new era of imaging. This is an ASCO Meeting Abstract from the 2025 ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Abstract: Employee Well-being is the physical and psychological experience and feeling of employees during work, it is a critical indicator of employee's quality of life and plays an important role in ...