Stratification and prediction of remission in first-episode psychosis patients: the OPTiMiSE cohort study

Autor: Martinuzzi, E, Barbosa, S, Daoudlarian, D, Bel Haj Ali, W, Gilet, C, Fillatre, L, Khalfallah, O, Troudet, R, Jamain, S, Fond, G, Sommer, I, Leucht, S, Dazzan, P, McGuire, P, Arango, C, Diaz-Caneja, CM, Fleischhacker, W, Rujescu, D, Glenthøj, B, Winter, I, Kahn, RS, Yolken, R, Lewis, S, Drake, R, Davidovic, L, Leboyer, M, Glaichenhaus, N, OPTiMiSE Study Group, De Hert, Marc

Publikováno v: Translational Psychiatry, Vol 9, Iss 1, Pp 1-13 (2019)
Martinuzzi, E, Barbosa, S, Daoudlarian, D, Bel Haj Ali, W, Gilet, C, Fillatre, L, Khalfallah, O, Troudet, R, Jamain, S, Fond, G, Sommer, I, Leucht, S, Dazzan, P, McGuire, P, Arango, C, Diaz-Caneja, C M, Fleischhacker, W, Rujescu, D, Glenthøj, B, Winter, I, Kahn, R S, Yolken, R, Lewis, S, Drake, R, Davidovic, L, Leboyer, M, Glaichenhaus, N & OPTiMiSE study group 2019, ' Stratification and prediction of remission in first-episode psychosis patients : the OPTiMiSE cohort study ', Translational Psychiatry, vol. 9, 20 . https://doi.org/10.1038/s41398-018-0366-5
20 (2019)
Translational Psychiatry
Translational Psychiatry, Nature Pub. Group, 2019, 9 (1), ⟨10.1038/s41398-018-0366-5⟩
Translational Psychiatry, 9:20. Nature Publishing Group
Translational Psychiatry, 9(1). Nature Publishing Group
OPTiMiSE Study Group 2019, ' Stratification and prediction of remission in first-episode psychosis patients : the OPTiMiSE cohort study ', Translational Psychiatry, vol. 9, no. 1, 20 . https://doi.org/10.1038/s41398-018-0366-5

Early response to first-line antipsychotic treatments is strongly associated with positive long-term symptomatic and functional outcome in psychosis. Unfortunately, attempts to identify reliable predictors of treatment response in first-episode psych

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8130527492db6b117ef6cc64970e9add
http://link.springer.com/article/10.1038/s41398-018-0366-5

From descriptor to boosting: Optimizing the k-NN classification rule.

Autor: Bel Haj Ali, W., Piro, P., Debreuve, E., Barlaud, M.

Publikováno v: 2010 International Workshop on Content-Based Multimedia Indexing (CBMI); 2010, p1-5, 5p

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