Approaches for handling imbalanced data used in machine learning in the healthcare field: A case study on Chagas disease database prediction - Coimbra, André G.; Oliveira, Cleiane G.; Libório, Matheus P.; Mannan, Hasheem; Santos, Laercio I.; Fusco, Elisa; D’Angelo, Marcos F.S.V. (PloS one, 2025)
Keywords: Accuracy; Algorithms; Bayes Theorem; Biology and Life Sciences; Care and treatment; Case studies; Chagas disease; Chagas Disease - diagnosis; Chagas Disease - epidemiology; Classification; Comparative analysis; Computer and Information Sciences; Cost allocation; Databases, Factual; Datasets; Decision making; Delivery of Health Care; Diagnosis; Efficiency; Engineering and Technology; Handling; Health care; Health risk assessment; Humans; Learning algorithms; Machine Learning; Medicine and Health Sciences; Methods; Particle swarm optimization; Patients; Physical Sciences; Prognosis; Public health; Quality of life; Research and Analysis Methods; Risk management; Stroke; Stroke (Disease); Vector-borne diseases; Brazil