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Conditional autoencoder pre-training and optimization algorithms for personalized care of hemophiliac patients
This paper presents the use of deep conditional autoencoder to predict the effect of treatments for patients suffering from hemophiliac disorders. Conditional autoencoder is a semi-supervised model that learns an abstract representation of the data and provides conditional reconstruction capabilitie...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905812/ https://www.ncbi.nlm.nih.gov/pubmed/36762254 http://dx.doi.org/10.3389/frai.2023.1048010 |