A Novel Technique for Early Detection of COVID-19

Abstract

COVID-19 is a global pandemic disease, which results from a dangerous coronavirus attack, and spreads aggressively through close contacts with infected people and artifacts. So far, there is not any prescribed line of treatment for COVID-19 patients. Measures to control the disease are very limited, partly due to the lack of knowledge about technologies which could be effectively used for early detection and control the disease. Early detection of positive cases is critical in preventing further spread, achieving the herd immunity, and saving lives. Unfortunately, so far we do not have effective toolkits to diagnose very early detection of the disease. Recent research findings have suggested that radiology images, such as X-rays, contain significant information to detect the presence of COVID-19 virus in early stages. However, to detect the presence of the disease in in very early stages from the X-ray images by the naked eye is not possible. Artificial Intelligence (AI) techniques, machine learning in particular, are known to be very helpful in accurately diagnosing many diseases from radiology images. This paper proposes an automatic technique to classify COVID-19 patients from their computerized tomography (CT) scan images. The technique is known as Advanced Inception based Recurrent Residual Convolution Neural Network (AIRRCNN), which uses machine learning techniques for classifying data. We focus on the Advanced Inception based Recurrent Residual Convolution Neural Network, because we do not find it being used in the literature. Also, we conduct principal component analysis, which is used for dimensional deduction. Experimental results of our method have demonstrated an accuracy of about 99%, which is regarded to be very efficient.

Applications of Healthcare Robots in Combating the COVID-19 Pandemic

“…It can also be used to perform X-rays and MRIs [ 62 ]. A radiologist robot is very advantageous, as it reduces the risk of healthcare professionals by preventing them from coming in contact with the harmful radiations emitted during the imaging cycles [ 63 ]. Currently, experts are working on an AI algorithm which can detect the presence of SARS-CoV-2 and is presumed to detect the coronavirus with up to 96% accuracy [ 64 , 65 ].…”

An empirical investigation into the altering health perspectives in the internet of health things

“… Data Sciences (DS) with IoHT: we need DS algorithms to analyze big data that is collected by different devices and systems for predictive, and early diagnostic, or to process some data like a medical image for automatic and speed detection to reduce the overhead on physician and decision support. Analysis the daily activities [ 74 ] Detect the pests and diseases of the skin by image processing [ 75 , 76 ] Studying and understanding the chronic diseases [ 77 ] Predict about infected cased of new virus like covid-19 [ 78 ] Voice Recognition to provide voice command and help disabled users [ 79 ]. Data analysis by machine learning (ML), statistics, reports and visualization, medical image processing, early detection [ 80 ]–[ 82 ].…”

“…The Corona pandemic showed the fragility of health systems, even in developed countries, in the face of pandemics [ 84 ]. Life around the world was affected in all its fields, which prompted many countries to apply precautionary measures to the entire population and to stop all activities, and this had a very severe impact on the economic situation in this country, and also greatly affected education and other fields [ 78 ]. The health sector was suffering the most, the medical centers were unable to absorb the large numbers of patients, which raised the number of deaths significantly, and some countries failed to control the infection, and some of them surrendered to the pandemic relying on what is known as herd immunity [ 85 ].…”

Prioritizing severity level of COVID-19 using correlation coefficient and intuitionistic fuzzy logic

“…With advent of Internet of Things (IoT) and Artificial Intelligence (AI) related techniques, various researchers designed apps to predict if a person is suffering from COVID-19 or not [ 17 ]. Researchers have used machine learning algorithms to detect the early stages or symptoms of COVID-19 [ 18 ]. In Wuhan city more than 140 patients were tested for the features of COVID-19 [ 19 ].…”