The Lancet

The use of advanced machine learning to predict outcomes after atezolizumab plus bevacizumab for advanced hepatocellular carcinoma: a retrospective cohort study

cGastroenterology and Hepatology, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, Palermo, Italy dDepartment of Medical and ...
IEEE

Employee Retention Prediction using Machine Learning Models

Abstract: This study develops and evaluates a leakage-safe attrition-risk model for faculty retention using a 5,778-record dataset with an approximately 12% leave rate. The pipeline performs schema ...
IEEE

AI Driven Approaches for Predicting and Preventing Employee Attrition Through Machine Learning Models

Abstract: Attrition has become a major issue in organizations, directly affecting both efficiency and profitability. Traditional turnover forecasting methods are often substandard, necessitating the ...
Nature

Employee Turnover Prediction Using Machine Learning Techniques

Organisations worldwide face significant costs and operational disruptions when employees leave, driving interest in predictive models that anticipate turnover before it occurs. Machine learning ...