Sfoglia per Rivista JAMA PSYCHIATRY
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients with Clinical High-Risk Syndromes and Recent-Onset Depression
2021 N. Koutsouleris, D.B. Dwyer, F. Degenhardt, C. Maj, M.F. Urquijo-Castro, R. Sanfelici, D. Popovic, O. Oeztuerk, S.S. Haas, J. Weiske, A. Ruef, L. Kambeitz-Ilankovic, L.A. Antonucci, S. Neufang, C. Schmidt-Kraepelin, S. Ruhrmann, N. Penzel, J. Kambeitz, T.K. Haidl, M. Rosen, K. Chisholm, A. Riecher-Rossler, L. Egloff, A. Schmidt, C. Andreou, J. Hietala, T. Schirmer, G. Romer, P. Walger, M. Franscini, N. Traber-Walker, B.G. Schimmelmann, R. Fluckiger, C. Michel, W. Rossler, O. Borisov, P.M. Krawitz, K. Heekeren, R. Buechler, C. Pantelis, P. Falkai, R.K.R. Salokangas, R. Lencer, A. Bertolino, S. Borgwardt, M. Noethen, P. Brambilla, S.J. Wood, R. Upthegrove, F. Schultze-Lutter, A. Theodoridou, E. Meisenzahl
Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or with Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis
2018 N. Koutsouleris, L. Kambeitz-Ilankovic, S. Ruhrmann, M. Rosen, A. Ruef, D. Dwyer, M. Paolini, K. Chisholm, J. Kambeitz, T. Haidl, A. Schmidt, J. Gillam, F. Schultze-Lutter, P. Falkai, M. Reiser, A. Riecher-Rössler, R. Upthegrove, J. Hietala, R. Salokangas, C. Pantelis, E. Meisenzahl, S. Wood, D. Beque, P. Brambilla, S. Borgwardt
Titolo | Data di pubblicazione | Autori | Tipo | File | Abstract |
---|---|---|---|---|---|
Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients with Clinical High-Risk Syndromes and Recent-Onset Depression | 2021 | Brambilla P. + | Article (author) | - | |
Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or with Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis | 2018 | Brambilla P + | Article (author) | - |
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