An Autoencoder and Machine Learning Model to Predict Suicidal Ideation with Brain Structural Imaging

It is estimated that at least one million people die by suicide every year, showing the importance of suicide prevention and detection. In this study, an autoencoder and machine learning model was employed to predict people with suicidal ideation based on their structural brain imaging. The subjects...

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Detalles Bibliográficos
Autores principales: Weng, Jun-Cheng, Lin, Tung-Yeh, Tsai, Yuan-Hsiung, Cheok, Man Teng, Chang, Yi-Peng Eve, Chen, Vincent Chin-Hung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141277/
https://www.ncbi.nlm.nih.gov/pubmed/32121362
http://dx.doi.org/10.3390/jcm9030658

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141277/
https://www.ncbi.nlm.nih.gov/pubmed/32121362
http://dx.doi.org/10.3390/jcm9030658

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