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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |