Machine learning improved classification of psychoses using clinical and biological stratification: Update from the bipolar-schizophrenia network for intermediate phenotypes (B-SNIP).

Abstract

Authors

• Suraj Sarvode Mothi
  Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, 75 Fenwood Rd, Boston, MA 02115, USA; Department of Psychiatry, Massachusetts General Hospital Boston, MA 02114, USA. Electronic address: surajsarvode@gmail.com.
• Mukund Sudarshan
  Courant Institute of Mathematical Sciences, New York University.
• Neeraj Tandon
  Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, 75 Fenwood Rd, Boston, MA 02115, USA; Baylor College of Medicine, Houston, TX, USA.
• Carol Tamminga
  Psychiatry, UT Southwestern, Dallas, TX, USA.
• Godfrey Pearlson
  Olin Neuropsychiatry Research Center, Hartford, CT, USA; Department of Psychiatry and Neurobiology, Yale University, New Haven, CT, USA.
• John Sweeney
  Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA.
• Brett Clementz
  Department of Psychiatry, University of Cincinnati, Cincinnati, OH, USA; Department of Psychology, Bio-Imaging Research Center, University of Georgia, Athens, GA, USA.
• Matcheri S Keshavan
  BethIsrael Deaconess Medical Center, United States; Harvard Medical School, United States. Electronic address: mkeshava@bidmc.harvard.edu.

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External Resources