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...

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Detalles Bibliográficos
Autores principales: Buche, Cédric, Lasson, François, Kerdelo, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Artificial Intelligence
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

Internet

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

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