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Methodology for Detecting Suspicious Claims in Health Insurance Using Supervised Machine Learning
ArticleAbstract: Health insurance fraud (HIF) places a substantial economic burden on global health systems. While suPalabras claves:Class imbalance, Fraud detection, health insurance fraud, Machine Learning, Peru, systematic methodologyAutores:David Mauricio, Delgadillo R.S., Juan Nazario Arancibia, Luis Napoleon Quiroz Aviles, Villegas-Ortega J., Wilder Carpio MontenegroFuentes:scopusFactors, Prediction, Explainability, and Simulating University Dropout Through Machine Learning: A Systematic Review, 2012–2024
ReviewAbstract: College dropout represents a significant challenge for universities, and despite advances in machinePalabras claves:Explainability, FACTORS, Machine Learning, PREDICTION, simulation, University dropoutAutores:David Mauricio, Delgadillo R.S., Jorge Parraga-Alava, Maculan N., Mauricio Quimiz-MoreiraFuentes:scopus