Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
Frontiers

Clinical Problem Selection for Machine Learning-Based Clinical Decision Support in the Intensive Care Unit: Complexity, Actionability, and the Way Forward

1 Department of Pediatrics, Division of Cardiology, University of Michigan Medical School, Ann Arbor, United States 2 Department of Computational Medicine and Bioinformatics, University of Michigan ...
IEEE

DT2HDL: A Binary Decision Tree to HDL Generation Tool

Abstract: Edge computing devices ideally need to process large amounts of sensor data and execute machine learning models in real-time. Deploying deep learning algorithms can be challenging in ...
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 ...