Objective: This study evaluated the feasibility of using a smartphone app to predict mental health risks in non-clinical adolescents by integrating active and passive data streams within a machine ...

Objective: This study compared a conventional logistic regression model with machine learning (ML) models using demographic and clinical data to predict outcomes at 2 and 6 months of treatment for MDR ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Employee turnover costs are climbing as half of U.S. hiring managers expect more exits in ...

An Ohio Ford employee is dead after being trapped and crushed by a malfunctioning industrial machine at a company plant this week. The incident unfolded around 9:45 a.m. on Monday, when authorities ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

ABSTRACT: One major issue influencing organizational success in all sectors of the world is high staff turnover. The intricate connections between organizational outcomes, turnover causes, and ...

Abstract: Employee attrition is a costly problem for organizations, leading to loss of institutional knowledge, reduced productivity, and increased recruitment expenses. Machine learning offers a ...

Accurate crop yield prediction is vital for ensuring global food security, particularly amid growing environmental challenges such as climate change. Although deep learning (DL) methods have shown ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.