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Machine learning approach for automated predicting of COVID-19 severity based on clinical and paraclinical characteristics: Serum levels of zinc, calcium, and vitamin D
BACKGROUND & AIMS: Considering that no standard therapy has yet been found for the novel coronavirus disease (COVID-19), identifying severe cases as early as possible, and such that treatment procedures can be escalated seems necessary. Hence, the present study aimed to develop a machine learnin...
Autores principales: | Jahangirimehr, Azam, Abdolahi Shahvali, Elham, Rezaeijo, Seyed Masoud, Khalighi, Azam, Honarmandpour, Azam, Honarmandpour, Fateme, Labibzadeh, Mostafa, Bahmanyari, Nasrin, Heydarheydari, Sahel |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339089/ https://www.ncbi.nlm.nih.gov/pubmed/36184235 http://dx.doi.org/10.1016/j.clnesp.2022.07.011 |
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