Ontology highlight
ABSTRACT:
SUBMITTER: Bhak Y
PROVIDER: S-EPMC6797735 | biostudies-literature | 2019 Oct
REPOSITORIES: biostudies-literature
Bhak Youngjune Y Jeong Hyoung-Oh HO Cho Yun Sung YS Jeon Sungwon S Cho Juok J Gim Jeong-An JA Jeon Yeonsu Y Blazyte Asta A Park Seung Gu SG Kim Hak-Min HM Shin Eun-Seok ES Paik Jong-Woo JW Lee Hae-Woo HW Kang Wooyoung W Kim Aram A Kim Yumi Y Kim Byung Chul BC Ham Byung-Joo BJ Bhak Jong J Lee Semin S
Translational psychiatry 20191017 1
More than 300 million people worldwide experience depression; annually, ~800,000 people die by suicide. Unfortunately, conventional interview-based diagnosis is insufficient to accurately predict a psychiatric status. We developed machine learning models to predict depression and suicide risk using blood methylome and transcriptome data from 56 suicide attempters (SAs), 39 patients with major depressive disorder (MDD), and 87 healthy controls. Our random forest classifiers showed accuracies of 9 ...[more]