Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study

Medical machine learning frameworks have received much attention in recent years. The recent COVID-19 pandemic was also accompanied by a surge in proposed machine learning algorithms for tasks such as diagnosis and mortality prognosis. Machine learning frameworks can be helpful medical assistants by...

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Detalles Bibliográficos
Autores principales: Mahdavi, Mahdi, Choubdar, Hadi, Rostami, Zahra, Niroomand, Behnaz, Levine, Alexandra T., Fatemi, Alireza, Bolhasani, Ehsan, Vahabie, Abdol-Hossein, Lomber, Stephen G., Merrikhi, Yaser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936112/
https://www.ncbi.nlm.nih.gov/pubmed/36808151
http://dx.doi.org/10.1038/s41598-023-29334-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936112/
https://www.ncbi.nlm.nih.gov/pubmed/36808151
http://dx.doi.org/10.1038/s41598-023-29334-0

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