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 ...
Devdiscourse

IoT and ensemble AI transform congestion prediction in urban bus networks

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

MOCT: a Multi-class Oblique Tree Algorithm for Synergistic Drug Combination Prediction

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...
IEEE

Machine Learning-Based Prediction of Tensile Strength in Pineapple Fiber Reinforced Polymer Composites Incorporating CuO Filler Using Random Forest, Decision Tree, and XGBoost ...

Abstract: The purpose of this study is to use sophisticated machine learning (ML) techniques to estimate tensile strength in pineapple fiber reinforced polymer composites containing CuO. Experimental ...