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Volume 4 Issue 2
Published:05 June 2021

Rajani Kumari,Sandeep Kumar,Ramesh Chandra Poonia,Vijander Singh,Linesh Raja,Vaibhav Bhatnagar,Pankaj Agarwal

2021, 4(2): 65-75.   doi:10.26599/BDMA.2020.9020013
Abstract ( 109 HTML ( 16   PDF(20954KB) ( 40 )   Save

The novel coronavirus outbreak was first reported in late December 2019 and more than 7 million people were infected with this disease and over 0.40 million worldwide lost their lives. The first case was diagnosed on 30 January 2020 in India and the figure crossed 0.24 million as of 6 June 2020. This paper presents a detailed study of recently developed forecasting models and predicts the number of confirmed, recovered, and death cases in India caused by COVID-19. The correlation coefficients...

Natarajan Yuvaraj,Kannan Srihari,Selvaraj Chandragandhi,Rajan Arshath Raja,Gaurav Dhiman,Amandeep Kaur

2021, 4(2): 76-83.   doi:10.26599/BDMA.2020.9020007
Abstract ( 282 HTML ( 14   PDF(1660KB) ( 288 )   Save

In recent time, data analysis using machine learning accelerates optimized solutions on clinical healthcare systems. The machine learning methods greatly offer an efficient prediction ability in diagnosis system alternative with the clinicians. Most of the systems operate on the extracted features from the patients and most of the predicted cases are accurate. However, in recent time, the prevalence of COVID-19 has emerged the global healthcare industry to find a new drug that suppresses the ...

Krishna Kant Singh,Akansha Singh

2021, 4(2): 84-93.   doi:10.26599/BDMA.2020.9020012
Abstract ( 56 HTML ( 1   PDF(7953KB) ( 30 )   Save

Coronavirus disease 2019 also known as COVID-19 has become a pandemic. The disease is caused by a beta coronavirus called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The severity of the disease can be understood by the massive number of deaths and affected patients globally. If the diagnosis is fast-paced, the disease can be controlled in a better manner. Laboratory tests are available for diagnosis, but they are bounded by available testing kits and time. The use of radiolo...

Nitin Bhardwaj,Pallvi Sharma

2021, 4(2): 94-103.   doi:10.26599/BDMA.2020.9020020
Abstract ( 63 HTML ( 0   PDF(2613KB) ( 76 )   Save

In this paper, uncertainty has been measured in the form of fuzziness which arises due to imprecise boundaries of fuzzy sets. Uncertainty caused due to human’s cognition can be decreased by the use of fuzzy soft sets. There are different approaches to deal with the measurement of uncertainty. The method we proposed uses fuzzified evidence theory to calculate total degree of fuzziness of the parameters. It consists of mainly four parts. The first part is to measure uncertainties of parameters ...

Avani Agarwal,Sahil Sharma,Vijay Kumar,Manjit Kaur

2021, 4(2): 104-115.   doi:10.26599/BDMA.2020.9020014
Abstract ( 85 HTML ( 0   PDF(3067KB) ( 90 )   Save

E-learning is the most promising venture in the entire world. During the COVID-19 lockdown, e-learning is successfully providing potential information to the students and researchers. In developing nations like India, with limited resources, e-learning tools and platforms provide a chance to make education available to middle and low income households. This paper gives insights about three different online services, namely Google Classroom, Zoom, and Microsoft Teams being used by three differ...

Vishan Kumar Gupta,Avdhesh Gupta,Dinesh Kumar,Anjali Sardana

2021, 4(2): 116-123.   doi:10.26599/BDMA.2020.9020016
Abstract ( 89 HTML ( 0   PDF(1236KB) ( 44 )   Save

A novel coronavirus (SARS-CoV-2) is an unusual viral pneumonia in patients, first found in late December 2019, latter it declared a pandemic by World Health Organizations because of its fatal effects on public health. In this present, cases of COVID-19 pandemic are exponentially increasing day by day in the whole world. Here, we are detecting the COVID-19 cases, i.e., confirmed, death, and cured cases in India only. We are performing this analysis based on the cases occurring in different sta...