Machine learning from real data: A mental health registry case study
Gentili E, Franchini G, Zese R, Alberti M, Ferrara M, Domenicano I, Grassi L. Machine learning from real data: A mental health registry case study. Computer Methods And Programs In Biomedicine Update 2024, 5: 100132. DOI: 10.1016/j.cmpbup.2023.100132.Peer-Reviewed Original ResearchClassification taskDifferent Machine Learning algorithmsMachine Learning AlgorithmsMachine learning techniquesReal-world datasetsCost-sensitive learningImbalanced classification tasksSynthetic minority oversampling techniqueMinority oversampling techniqueFeature selection analysisLearning techniquesElectronic health recordsAlgorithm levelMedical domainLearning algorithmData imbalanceRandom undersamplingOversampling techniqueHealth recordsReal dataHealthcare fieldOriginal dataDatasetTaskBest setting