Journal of Medical Internet Research

Digital Phenotyping for Adolescent Mental Health: Feasibility Study Using Machine Learning to Predict Mental Health Risk From Active and Passive Smartphone Data

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 ...
Journal of Medical Internet Research

Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and ...

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 ...
IEEE

Decoding Departure: Advanced Machine Learning and Ensemble Fusion for Employee Attrition Prediction

Abstract: Employee attrition prediction plays a key role in strategic workforce planning. This study presents an improved machine-learning framework that combines engineered feature interactions with ...
IEEE

A Machine Learning Framework for Personalized Employee Health and Productivity Optimization

Abstract: The integration of artificial intelligence (AI) and machine learning (ML) technologies in workplace environments presents unprecedented opportunities for enhancing employee wellbeing and ...