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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...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |