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...

Descripción completa

Detalles Bibliográficos
Autores principales: Jahangirimehr, Azam, Abdolahi Shahvali, Elham, Rezaeijo, Seyed Masoud, Khalighi, Azam, Honarmandpour, Azam, Honarmandpour, Fateme, Labibzadeh, Mostafa, Bahmanyari, Nasrin, Heydarheydari, Sahel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. 2022
Materias:
Original Article
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

Internet

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

Ejemplares similares