Research Authors
Shomoita Jahid Mitin, Muhammad Jafar Sadeq, Umme Habiba, Roy D. Gregori Ayon, Md. Sanaullah Rabbi & S. Rayhan Kabir
Asian University of Bangladesh (AUB) |
Computer Science & Engineering
Conference / Book Information
Advances in Distributed Computing and Machine Learning
Publisher: Springer Nature Singapore
Type: Conference Paper
Page Range: 231 – 241
Online: 28 June 2023
Digital Object Identifier (DOI)
10.1007/978-981-99-1203-2_20
10.1007/978-981-99-1203-2_20
Abstract
Although the severity of COVID-19 has decreased in most of the countries, it remains a threat that the world continues to tackle. Consequently, this paper presents a classification of pandemic stages and a method to determine the current severity of the pandemic using machine learning. Parameters for determining pandemic severity include economy, education, and physical and mental health data of Bangladesh. The analysis has been done using K-Means Clustering algorithm, Decision Tree, Naive Bayes, Random Forest and Decision Tree boosted by AdaBoost. The best performance is achieved by the latter. This technique can be applied to future pandemic data to develop pandemic comparisons and also to develop more robust models that can be applied to pandemics caused by other diseases.
MACHINE LEARNING & DISTRIBUTED COMPUTING | SPRINGER NATURE | 2023