Cargando…
Neo-epidemiological machine learning based method for COVID-19 related estimations
The 2019 newfound Coronavirus (COVID-19) still remains as a threatening disease of which new cases are being reported daily from all over the world. The present study aimed at estimating the related rates of morbidity, growth, and mortality for COVID-19 over a three-month period starting from Feb, 1...
Autores principales: | Bodaghie, Mouhamad, Mahan, Farnaz, Sahebi, Leyla, Dalili, Hossein |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038265/ https://www.ncbi.nlm.nih.gov/pubmed/36961771 http://dx.doi.org/10.1371/journal.pone.0263991 |
Ejemplares similares
-
Epidemiology of nosocomial Staphylococcus epidermidis and Acinetobacter baumannii infections in a neonatal intensive care unit
por: Nayeri, Fatemeh, et al.
Publicado: (2023) -
Iranian neonatal diabetes mellitus due to mutation in PDX1 gene: a case report
por: Sahebi, Leyla, et al.
Publicado: (2019) -
NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer
por: Anzar, Irantzu, et al.
Publicado: (2019) -
Can Machines Learn Respiratory Virus Epidemiology?: A Comparative Study of Likelihood-Free Methods for the Estimation of Epidemiological Dynamics
por: Tessmer, Heidi L., et al.
Publicado: (2018) -
NEO E-vita—NEO era!
por: Jakob, Heinz, et al.
Publicado: (2022)