BMJ Open

Predicting burnout, anxiety and depression among Canadian healthcare professionals during the COVID-19 pandemic: a cross-sectional secondary analysis study

Objectives This study aimed to identify the predictors of burnout, anxiety and depression among healthcare professionals during the COVID-19 pandemic. Design A secondary quantitative analysis of data ...
IEEE

Model-Based Deep Learning

Abstract: Signal processing, communications, and control have traditionally relied on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that ...
IEEE

Ordinal Logistic Regression Model for Predicting Employee Satisfaction from Organizational Climate

Abstract: The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of ...
thorax.bmj

Development and validation of PRECISE-X model: predicting first severe exacerbation in COPD

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

Knowledge, attitude and use of menstrual cup among females of Siddharthanagar Municipality, Nepal: a community-based cross-sectional study

Objectives Although menstrual cups have a long history and numerous benefits, many women of reproductive age remain unaware. This study assessed the knowledge, attitude and use regarding menstrual ...