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Importance of immunometabolic markers for the classification of patients with major depressive disorder using machine learning.
Sánchez-Carro, Yolanda; de la Torre-Luque, Alejandro; Leal-Leturia, Itziar; Salvat-Pujol, Neus; Massaneda, Clara; de Arriba-Arnau, Aida; Urretavizcaya, Mikel; Pérez-Solà, Victor; Toll, Alba; Martínez-Ruiz, Antonio; Ferreirós-Martínez, Raquel; Pérez, Salvador; Sastre, Juan; Álvarez, Pilar; Soria, Virginia; López-García, Pilar.
Afiliação
  • Sánchez-Carro Y; Department of Psychiatry, Universidad Autonoma de Madrid (UAM), Spain; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
  • de la Torre-Luque A; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Department of Legal Medicine, Psychiatry and Pathology, Universidad Complutense de Madrid, Spain.
  • Leal-Leturia I; Department of Psychiatry, Universidad Autonoma de Madrid (UAM), Spain; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain.
  • Salvat-Pujol N; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain; Corporació Sanitària Parc Taulí, Department of Mental Health, Sabadell, Spain.
  • Massaneda C; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain.
  • de Arriba-Arnau A; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain.
  • Urretavizcaya M; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain; Department of Clin
  • Pérez-Solà V; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain.; Psychiatry Department, Institut de Neuropsiquiatria i Addicions, Hospital del Mar, IMIM (Hospital del Mar Medical Research Institute), Barcelona,
  • Toll A; Psychiatry Department, Institut de Neuropsiquiatria i Addicions, Hospital del Mar, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
  • Martínez-Ruiz A; Unidad de Investigación, Hospital Universitario Santa Cristina, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain.
  • Ferreirós-Martínez R; Service of Clinical Analysis, Hospital Universitario de la Princesa, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain.
  • Pérez S; Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain.
  • Sastre J; Department of Physiology, Faculty of Pharmacy, University of Valencia, Spain.
  • Álvarez P; Psychiatry Department, Institut de Neuropsiquiatria i Addicions, Centre Fòrum, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
  • Soria V; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain; Bellvitge University Hospital, Department of Psychiatry, Bellvitge Biomedical Research Institute (IDIBELL), Neurosciences Group - Psychiatry and Mental Health, Barcelona, Spain; Department of Clin
  • López-García P; Department of Psychiatry, Universidad Autonoma de Madrid (UAM), Spain; Department of Psychiatry, Instituto de Investigación Sanitaria Princesa (IIS-IP), Madrid, Spain; Center for Biomedical Research in Mental Health (CIBERSAM), Carlos III Health Institute, Madrid, Spain. Electronic address: p.lopez@
Prog Neuropsychopharmacol Biol Psychiatry ; 121: 110674, 2023 03 08.
Article em En | MEDLINE | ID: mdl-36332700
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Idioma: En Ano de publicação: 2023 Tipo de documento: Article