Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of ...

Objective This study was designed to investigate the mistreatment of women during childbirth and its determining factors in a selected maternity hospital in Mazandaran/Iran. Design This ...

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.

Background Persistent shockable rhythms (refractory to or recurring after three or more defibrillation attempts) are ...

Purpose Exposure to repetitive head impacts sustained during routine sports participation may result in elevated levels of ...

Objectives To assess indirect costs (IDC) due to lost productivity in paid/unpaid labour, stratified by sex, in a national prospective observational multicentre Canadian SLE cohort.Methods Patients ...

ABSTRACT: The present study belongs to a new strand of research in learning in higher education focusing on distal and emotional factors that contribute to learning. The purpose of the study was to ...

ABSTRACT: The purpose of this study was to establish the mediating role of job satisfaction (JS) in the relationship between job involvement (JI) and psychological well-being (PWB). A cross-sectional ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...