2024
Machine Learning For Mental Health: Focus on Affective and Nonaffective Psychosis
Ferrara M, Franchini G, Funaro M, Murri M, Toffanin T, Zerbinati L, Valier B, Ambrosio D, Marconi F, Cutroni M, Basaldella M, Seno S, Grassi L. Machine Learning For Mental Health: Focus on Affective and Nonaffective Psychosis. 2024, 239-258. DOI: 10.1201/9781003378068-11.Peer-Reviewed Original ResearchCorrection: On the proportion of patients who experience a prodrome prior to psychosis onset: a systematic review and meta-analysis
Benrimoh D, Dlugunovych V, Wright A, Phalen P, Funaro M, Ferrara M, Powers A, Woods S, Guloksuz S, Yung A, Srihari V, Shah J. Correction: On the proportion of patients who experience a prodrome prior to psychosis onset: a systematic review and meta-analysis. Molecular Psychiatry 2024, 29: 1567-1567. PMID: 38351175, DOI: 10.1038/s41380-024-02481-0.Peer-Reviewed Original ResearchOn the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis
Benrimoh D, Dlugunovych V, Wright A, Phalen P, Funaro M, Ferrara M, Powers A, Woods S, Guloksuz S, Yung A, Srihari V, Shah J. On the proportion of patients who experience a prodrome prior to psychosis onset: A systematic review and meta-analysis. Molecular Psychiatry 2024, 29: 1361-1381. PMID: 38302562, DOI: 10.1038/s41380-024-02415-w.Peer-Reviewed Original ResearchSources of heterogeneitySystematic reviewProportion of patientsMeta-analysisSubgroup analysisCochrane Database of Systematic ReviewsDatabase of Systematic ReviewsMeta-analysis of studies of patientsPsychosis onsetProspective cohort studyCochrane Central Register of Controlled TrialsCentral Register of Controlled TrialsRegister of Controlled TrialsAPA PsycInfoNarrative synthesisMeta-analysis estimatesCochrane Central RegisterPrevention of psychosisAscertainment methodsWeb of Science Core CollectionRecall biasQualitative studyAssess heterogeneityCohort studyOvid MEDLINE
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
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