2024
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
2022
Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment
Ferrara M, Franchini G, Funaro M, Cutroni M, Valier B, Toffanin T, Palagini L, Zerbinati L, Folesani F, Murri M, Caruso R, Grassi L. Machine Learning and Non-Affective Psychosis: Identification, Differential Diagnosis, and Treatment. Current Psychiatry Reports 2022, 24: 925-936. PMID: 36399236, PMCID: PMC9780131, DOI: 10.1007/s11920-022-01399-0.Peer-Reviewed Original ResearchConceptsMachine learning techniquesBinary classification caseSetting of hyperparametersSupport vector machineArtificial intelligenceLearning techniquesMachine learningML applicationsElectronic health recordsDigital contentML toolsSupervised approachClassification casesVector machineRandom forestGradient boostingML approachHealth recordsIllness detectionOverall performancePromising resultsSources of dataIdentification toolToolPreprocessing