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Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis.
Colombo, Federica; Calesella, Federico; Mazza, Mario Gennaro; Melloni, Elisa Maria Teresa; Morelli, Marco J; Scotti, Giulia Maria; Benedetti, Francesco; Bollettini, Irene; Vai, Benedetta.
Affiliation
  • Colombo F; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy. Electronic address: f.colombo8@studenti.unisr.it.
  • Calesella F; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy. Electronic address: f.calesella@studenti.unisr.it.
  • Mazza MG; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy.
  • Melloni EMT; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy.
  • Morelli MJ; Center for Omics Sciences, San Raffaele Scientific Institute, Milano, Italy.
  • Scotti GM; Center for Omics Sciences, San Raffaele Scientific Institute, Milano, Italy.
  • Benedetti F; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy.
  • Bollettini I; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy.
  • Vai B; Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy; Vita-Salute San Raffaele University, Milano, Italy; Fondazione Centro San Raffaele, Milano, Italy.
Neurosci Biobehav Rev ; 135: 104552, 2022 04.
Article in En | MEDLINE | ID: mdl-35120970
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Neurosci Biobehav Rev Year: 2022 Document type: Article Country of publication:
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bipolar Disorder Type of study: Diagnostic_studies / Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Limits: Humans Language: En Journal: Neurosci Biobehav Rev Year: 2022 Document type: Article Country of publication: