An investigation of multivariate data-driven deep learning models for predicting COVID-19 variants

An investigation of multivariate data-driven deep learning models for predicting COVID-19 variants

The Coronavirus Disease 2019 (COVID-19) pandemic has swept almost all parts of the world. With the increasing number of COVID-19 cases worldwide, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has mutated into various variants. Given the increasingly dangerous conditions of the pandemi...

Full description

Bibliographic Details
Main Authors: Akhmad Dimitri Baihaqi, Novanto Yudistira, Edy Santoso
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Healthcare Analytics
Subjects:
Deep learning
Time series prediction
Long short-term memory (LSTM)
Bidirectional LSTM (BiLSTM)
COVID-19
Online Access:http://www.sciencedirect.com/science/article/pii/S2772442524000339

Internet

http://www.sciencedirect.com/science/article/pii/S2772442524000339

Similar Items