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Paper Details

Can machine learning identify childhood characteristics that predict future development of bipolar disorder a decade later?
J Psychiatr Res
3
2022
Child, Participants, bipolar disorder, child, children
Adolescent, Bipolar Disorder, Child, Humans, Machine Learning
Author NameAffiliation
Mai UchidaMassachusetts General Hospital, Harvard Medical School
Qasim BukhariDepartment of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology
Maria Elena Di SalvoMassachusetts General Hospital
Allison GreenMassachusetts General Hospital, Indiana University
Giulia SerraI.R.C.C.S. Children Hospital Bambino Gesu
Chloe Hutt VaterMassachusetts General Hospital
Satrajit S GhoshDepartment of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology, Harvard Medical School
Stephen V FaraoneSUNY Upstate Medical University
Stephen V FaraoneSUNY Upstate Medical University
John D E GabrieliDepartment of Brain and Cognitive Sciences and McGovern Institute for Brain Research, Massachusetts Institute of Technology
Joseph BiedermanMassachusetts General Hospital, Harvard Medical School
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