1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

Background: Arthritis is the most disabling disease worldwide, and the presence of the disease usually greatly threatens the patient’s activities of daily living (ADL). Currently, there are a few ...

1 Department of Nursing, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China 2 Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...

If you’ve ever found yourself staring at a messy spreadsheet of survey data, wondering how to make sense of it all, you’re not alone. From split headers to inconsistent blanks, the challenges of ...

Research designs, review of inference and regression, categorical data, logistic regression, rates and proportions, sample size determination. Additional topics such as nonparametric methods, survival ...

Microsoft's integration of Python into Excel, slated for release in Q3 2024, is a major advance for financial data professionals using Excel as their core analysis tool. This powerful combination ...

Thanks to generative AI, we’re getting close to the promise of truly “democratizing” data. This means anyone can make decisions that are data-driven, not just highly skilled data scientists. Here ‘s ...

Objectives Intersectionality conceptualises how different parts of our identity compound, creating unique and multifaceted experiences of oppression. Our objective was to explore and compare several ...

Lorepy offers distinct advantages over traditional methods like stacked bar plots. By employing a linear model, Lorepy captures overall trends across the entire feature range. It avoids arbitrary ...