COVID-19 is a pandemic that cost the lives of over seven hundred thousand human lives.
The viral infection is said to have at least five stages where the last stage is lethal. The …

It is a great challenge of identification as well as formation of groups of infectious disease
data set. Data mining, a process of uncovering silent characteristics of big data is one of …

Objectives: In December 2019, in Wuhan, China, a novel coronavirus disease (COVID-19), a
highly infectious disease, was first described. The disease has spread to 210 countries and …

Coronavirus disease (COVID-19) is an infectious respiratory illness caused by Severe Acute
Respiratory Syndrome CoronaVirus 2 (SARS-CoV-2). The virus is new and has caused an …

With the easing of COVID-19 regulations in Alberta, people are gradually back to their
normal life. However, we cannot be careless, since there is a possibility for a new variant …

The goal from this study Data mining techniques like K-Means Clustering are used to
investigate the Covid-19 Coronavirus Diseases. Researcher's prediction will not only allow …

Today, the world is exposed to many widespread health crises. One of these crises is the
emergence and spread of the covid-19 virus, where any person becomes infected with this …

The entire world is under the existential health emergency: the spread of a contagious
corona virus. Since this pandemic can be classified as moderate, mild and high risk. But the …

This article reports unsupervised learning approach for the cataloguing of COVID-19
infected countries based on the varieties of COVID-19 infected cases. The dataset for the …

The COVID-19 crisis has generated an enormous need for country-wide contact tracing
which needs thousands of people to quickly learn key skills. Article will discuss the science …