Hou, C. (2026) Assessment of Cognitive Function in the Elderly and Analysis of Its Influencing Factors. Journal of ...
Based on the aforementioned principles, existing literature, and professional understanding of the study area, an initial set of factors encompassing topography, geology, hydrology, vegetation cover, ...
Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
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 ...
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 ...
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 ...
Lessons From Taxanes Versus Eribulin for First-Line Metastatic Human Epidermal Growth Factor Receptor 2–Positive Breast Cancer in the EMERALD Study The ideas and opinions expressed in this Data ...
Mendelian randomization revealed a significant link between higher genetically-determined BMI and increased MS severity, strengthening previous observational findings. Expanded analysis included ...
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