Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...

Objective To assess prevalence and associated factors of adverse childhood experiences (ACEs) among patients with severe mood disorders (SMDs). Design An institution-based cross-sectional study.

Introduction We aimed to determine the association between paternal labour migration and the growth of the left-behind ...

Objectives Although breastfeeding is associated with lower postnatal depression and anxiety, limited research exists regarding long-term maternal mental health outcomes. This study examined the ...

It’s hard to pick any one line as my favorite in the 1998 cult classic “The Big Lebowksi,” because there are far too many to choose from, but I think I most enjoy the moment when John Goodman’s ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

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 ...

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...