Applications of machine learning approaches to combat COVID-19: A survey

Simple item page
AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:34:05Z
Fecha de publicación2022-01-01
ResumenMachine learning (ML) and artificial intelligence (AI) approaches are prominent and well established in the field of health-care informatics. Because they have a more productive ability to predict, they are successfully applied in several health-care applications. ML approaches are needed thanks to the unsatisfactory experience of the novel virus, considerable ambiguity, complicated social circumstances, and inadequate accessible data. Several approaches have been applied as a tool to combat and protect against the new diseases. The COVID-19 outbreak has rapid growth, so it is not easy to predict the patients and resources within a specified time. ML is a strong approach in the fighting against the pandemic such as COVID-19. It is found significant to predict the susceptible, infected, recovered, or exposed persons and can assist the control strategies to block the spread of infections. This study critically examines the appropriateness and contribution of AI/ML methods on COVID-19 datasets, enhancing the understanding to apply these methods for quick analysis and verification of pandemic databases.es_ES
Doihttps://doi.org/10.1016/b978-0-323-99878-9.00014-5es_ES
ISBN978-032399878-9; 978-032399944-1es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5849
Idiomaenes_ES
EditorialElsevieres_ES
RelaciónLessons from COVID-19: Impact on Healthcare Systems and Technologyes_ES
URL relacionadohttps://doi.org/10.1016/b978-0-323-99878-9.00014-5es_ES
DerechosAcceso abierto (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_abf2es_ES
FuenteLessons from COVID-19: Impact on Healthcare Systems and Technology
Palabra claveApplicationses_ES
Palabra claveArtificial intelligencees_ES
Palabra claveCOVID-19es_ES
Palabra claveMachine learninges_ES
Palabra clavePandemices_ES
Palabra claveReviewes_ES
TítuloApplications of machine learning approaches to combat COVID-19: A surveyes_ES
TipoCapítulo Libroes_ES
ArbitradoHa sido Arbitradoes_ES
AutorTiwari, Sanju
AutorDogan, Onur
AutorJabbar, M.A.
AutorShandilya, Shishir Kumar
AutorOrtiz-Rodriguez, Fernando
AutorBajpai, Sailesh
AutorBanerjee, Sourav
AutorTiwari, Sanjues_ES
AutorDogan, Onures_ES
AutorJabbar, M.A.es_ES
AutorShandilya, Shishir Kumares_ES
AutorOrtiz-Rodriguez, Fernandoes_ES
AutorBajpai, Saileshes_ES
AutorBanerjee, Souraves_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas263-287es_ES
URL relacionadahttps://doi.org/10.1016/b978-0-323-99878-9.00014-5
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES

Files

Collections

Documentación Cientifica