Use of Machine Learning to Determine Deviance in Neuroanatomical Maturity Associated With Future Psychosis in Youths at Clinically High Risk.

Abstract

Authors

• Yoonho Chung
  Department of Psychology, Yale University, New Haven, Connecticut.
• Jean Addington
  Department of Psychiatry, University of Calgary, Calgary, AB, Canada.
• Carrie E Bearden
  Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.
• Kristin Cadenhead
  Department of Psychiatry, University of California, San Diego, La Jolla.
• Barbara Cornblatt
  Department of Psychiatry, Zucker Hillside Hospital, Queens, New York.
• Daniel H Mathalon
  Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.
• Thomas McGlashan
  Department of Psychiatry, Yale University, New Haven, Connecticut.
• Diana Perkins
  Department of Psychiatry, University of North Carolina, Chapel Hill.
• Larry J Seidman
  Department of Psychiatry, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
• Ming Tsuang
  Department of Psychiatry, University of California, San Diego, La Jolla.
• Elaine Walker
  Department of Psychology, Emory University, Atlanta, Georgia.
• Scott W Woods
  Department of Psychology, Yale University, New Haven, CT, United States.
• Sarah McEwen
  Semel Institute for Neuroscience and Human Behavior, Department of Psychology, University of California, Los Angeles.
• Theo G M van Erp
  Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA.
• Tyrone D Cannon
  Department of Psychology, Yale University, New Haven, CT, United States.

Keywords

External Resources