Predicting conversion to psychosis using machine learning: response to Cannon
Smucny J, Cannon T, Bearden C, Addington J, Cadenhead K, Cornblatt B, Keshavan M, Mathalon D, Perkins D, Stone W, Walker E, Woods S, Davidson I, Carter C. Predicting conversion to psychosis using machine learning: response to Cannon. Frontiers In Psychiatry 2025, 15: 1520173. PMID: 39882161, PMCID: PMC11775650, DOI: 10.3389/fpsyt.2024.1520173.Peer-Reviewed Original ResearchMachine learning algorithmsMachine learning modelsLearning algorithmsConversion to psychosisMachine learningLearning modelsStandard machine learning algorithmsClinical high riskNAPLS-2Overall performanceNaive BayesModel generalizationClinical high-risk individualsPredicting conversion to psychosisTest setIndependent datasetsRandom forest methodDataset
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