Work

Deep learning in managing SARS-CoV-2 pandemic, variant prediction and driver mutation identification: Case study in Setif, Algeria

Year: 2024

Type: conference-paper

Source: International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

DOI: 10.1109/ict-dm62768.2024.10798943

Authors: Madjda Akacha, Abdelhalim Khenchouche, Imene Zenbout, Mounira Amrane

Institutions: University Ferhat Abbas of Setif, Université Constantine 2, Centre Hospito Universitaire de Sétif

Language: English

Topic: SARS-CoV-2 and COVID-19 Research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4405521691

FWCI: 9.95

Cites: 18

Cited by: 1

Related to: 10