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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Classification of unipolar and bipolar depression using machine learning techniques

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Author(s):
Suen, Paulo J. C. [1] ; Goerigk, Stephan [2, 3, 4] ; Razza, Lais B. [5] ; Padberg, Frank [3] ; Passos, Ives Cavalcante [6, 7, 8] ; Brunoni, Andre R. [9, 10]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Fac Med FMUSP, Sao Paulo, SP - Brazil
[2] Univ Appl Sci, Hsch Fresenius, Munich - Germany
[3] Hosp Univ Munich, Dept Psychiat & Psychotherapy, Munich - Germany
[4] Univ Munich, Dept Psychol Methodol & Assessment, Munich - Germany
[5] Univ Sao Paulo, Inst Nacl Biomarcadores Neuropsiquiatr INBioN, Dept & Inst Psychiat, Fac Med, Lab Neurosci LIM 27, R Dr Ovidio de Pires Campos 785, 2o Andar, BR-05403000 Sao Paulo - Brazil
[6] Univ Fed Rio Grande do Sul, Hosp Clin Porto Alegre HCPA, Lab Mol Psychiat, Porto Alegre, RS - Brazil
[7] Univ Fed Rio Grande do Sul, Hosp Clin Porto Alegre HCPA, Nacl Ciencia & Tecnol Translac Med INCT TM, Ctr Pesquisa Expt CPE, Porto Alegre, RS - Brazil
[8] Univ Fed Rio Grande do Sul, Hosp Clin Porto Alegre HCPA, Ctr Pesquisa Clin CPC, Porto Alegre, RS - Brazil
[9] Univ Sao Paulo, Dept Internal Med, Fac Med, Av Prof Lineu Prestes 2565, BR-05508000 Sao Paulo - Brazil
[10] Univ Sao Paulo, Hosp Univ, Av Prof Lineu Prestes 2565, BR-05508000 Sao Paulo - Brazil
Total Affiliations: 10
Document type: Journal article
Source: PSYCHIATRY RESEARCH; v. 295, JAN 2021.
Web of Science Citations: 0
Abstract

FAPESP's process: 12/20911-5 - Escitalopram and transcranial direct current stimulation in major depressive disorder: a double blind, placebo-controlled, randomized, non-inferiority trial
Grantee:Andre Russowsky Brunoni
Support Opportunities: Research Grants - Young Investigators Grants