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Cluster-based analysis of COVID-19 cases using self-organizing map neural network and K-means methods to improve medical decision-making
In this study, we utilized unsupervised machine learning techniques to examine the relationship between different symptoms in cases who died of COVID-19 and cases who recovered from it. First, our data was cleared of redundancies, and the ten most important variables were selected using a filter-bas...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier Ltd.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254458/ https://www.ncbi.nlm.nih.gov/pubmed/35813016 http://dx.doi.org/10.1016/j.imu.2022.101005 |