Peripheral biomarker signatures of bipolar disorder and schizophrenia: A machine learning approach

Schizophrenia Research

Volumn 188, Issue , 2017, Pages 182-184

  Pinto, Jairo Vinícius ^a,b   Passos, Ives Cavalcante ^a,b   Gomes, Fernando ^a,b   Reckziegel, Ramiro ^a,b   Kapczinski, Flavio ^c   Mwangi, Benson ^d   Kauer Sant'Anna, Márcia ^a,b  

^a HOSPITAL DE CLÍNICAS DE PORTO ALEGRE   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^c MCMASTER UNIVERSITY   (Canada)

^d UNIVERSITY OF TEXAS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; BRAIN DERIVED NEUROTROPHIC FACTOR; EOTAXIN; GLUTATHIONE PEROXIDASE; GLUTATHIONE TRANSFERASE; INTERLEUKIN 10; INTERLEUKIN 6; NEUROTROPHIN;

BIPOLAR DISORDER; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DSM-IV; FEASIBILITY STUDY; HUMAN; INFORMED CONSENT; LETTER; MACHINE LEARNING; PATHOPHYSIOLOGY; PREDICTIVE VALUE; PRIORITY JOURNAL; SCHIZOPHRENIA; STRUCTURED CLINICAL INTERVIEW FOR DSM DISORDERS; SUPPORT VECTOR MACHINE; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; METABOLISM; PROCEDURES; PROOF OF CONCEPT;

BIOMARKERS; BIPOLAR DISORDER; DIAGNOSIS, COMPUTER-ASSISTED; DIAGNOSIS, DIFFERENTIAL; HUMANS; PROOF OF CONCEPT STUDY; SCHIZOPHRENIA; SUPPORT VECTOR MACHINE;

EID: 85009739652     PISSN: 09209964     EISSN: 15732509     Source Type: Journal    
DOI: 10.1016/j.schres.2017.01.018     Document Type: Letter

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