Depression and suicide risk prediction models using blood-derived multi-omics data

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...

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Detalles Bibliográficos
Autores principales: Bhak, Youngjune, Jeong, Hyoung-oh, Cho, Yun Sung, Jeon, Sungwon, Cho, Juok, Gim, Jeong-An, Jeon, Yeonsu, Blazyte, Asta, Park, Seung Gu, Kim, Hak-Min, Shin, Eun-Seok, Paik, Jong-Woo, Lee, Hae-Woo, Kang, Wooyoung, Kim, Aram, Kim, Yumi, Kim, Byung Chul, Ham, Byung-Joo, Bhak, Jong, Lee, Semin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797735/
https://www.ncbi.nlm.nih.gov/pubmed/31624227
http://dx.doi.org/10.1038/s41398-019-0595-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797735/
https://www.ncbi.nlm.nih.gov/pubmed/31624227
http://dx.doi.org/10.1038/s41398-019-0595-2

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