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Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia
The clock drawing test (CDT) is an inexpensive tool to screen for dementia. In this study, we examined if a variational autoencoder (VAE) with only two latent variables can capture and encode clock drawing anomalies from a large dataset of unannotated CDTs (n = 13,580) using self-supervised pre-trai...
Autores principales: | Bandyopadhyay, Sabyasachi, Dion, Catherine, Libon, David J., Price, Catherine, Tighe, Patrick, Rashidi, Parisa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9107463/ https://www.ncbi.nlm.nih.gov/pubmed/35568709 http://dx.doi.org/10.1038/s41598-022-12024-8 |
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