
The prediction of coronavirus disease 2019 outbreak on Bangladesh perspective using machine learning: a comparative study
Author(s) -
Maqsudur Rahman,
Md. Tofael Ahmed,
Shafayet Nur,
A. Z. M. Touhidul Islam
Publication year - 2022
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v12i4.pp4276-4287
Subject(s) - lasso (programming language) , regression , pandemic , linear regression , statistics , covid-19 , regression analysis , outbreak , coronavirus , perspective (graphical) , predictive modelling , machine learning , computer science , medicine , disease , artificial intelligence , econometrics , mathematics , infectious disease (medical specialty) , pathology , world wide web