IEEE

A Data-Driven Approach to Gold Price Forecasting Using Supervised Learning: An Empirical Study with Decision Tree and Random Forest

Abstract: Predicting commodity prices like gold forms a central part of economic decision-making, investment plans, and economic policy formulation. This paper discusses the application and comparison ...
Frontiers

Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forward

Machine learning (ML)-based clinical decision support (CDS) in the intensive care unit (ICU) has the potential to improve medical decision-making and patient outcomes. The chasm between model ...
IEEE

Predictive Modeling of Employee Attrition Using Tree-Based Machine Learning Classifiers

Abstract: Employee attrition poses considerable challenges for organizations by affecting productivity and increasing recruitment costs. This study employs tree-based machine learning classifiers to ...