Deep graph neural network-based prediction of acute suicidal ideation in young adults.
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ABSTRACT:
SUBMITTER: Choi KS
PROVIDER: S-EPMC8338980 | biostudies-literature | 2021 Aug
REPOSITORIES: biostudies-literature
Publications
Deep graph neural network-based prediction of acute suicidal ideation in young adults.
Choi Kyu Sung KS Kim Sunghwan S Kim Byung-Hoon BH Jeon Hong Jin HJ Kim Jong-Hoon JH Jang Joon Hwan JH Jeong Bumseok B
Scientific reports 20210804 1
Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide prevention as well as for psychiatric well-being. Using questionnaires is an alternative to labor-intensive diagnostic interviews in a large general population, but previous models for predicting suicide attempts suffered from low sensitivity. We developed and validated a deep graph neural network model that increased the prediction sensitivity of suicide risk in young adults (n = 17,482 for training ...[more]
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