ABSTRACT
The World of today is suffering from novel coronavirus (nCOV2). This is a respiratory infectious disease that has affected the entire globe. This respiratory infection is first originated in Wuhan, China. Today, it has many variants like the “United Kingdom (UK) variant called B.1.1.7,” “South African variant is called B.1.351,” “Brazilian variant is known as P.1,” etc. In this research work, we will discuss the Indian scenario to tackle nCOV2. We will also present an engineering student’s perspective to detect changes developed in the patient’s chest suffering from nCOV2 employing statistical methods. Among all the statistical techniques, GLCM-based texture analysis-based technique has gained popularity due to its diverse applications. It is used in many applications like remote sensing, image processing, biomedical applications, seismic data analysis. Thus in this research work, this methodology is used various changes in the before and after images of the patient suffering from the novel coronavirus. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Outbreak of Covid-19 pandemic has proved highly disruptive to the order of world. With countries coming at standstill and economy reeling under the pressure, producing negative growth rate. Simultaneous it proved to be blessing in disguise in providing an opportunity for faster adaption of ICT especially into education and healthcare fields. Countries are coming with new acts, laws and rules to facilitate this. National Digital Health Mission, Telemedicine Practice Guidelines and CoWIN driven largest vaccination drive on the earth are some of such instances. ICT integration to healthcare can also help to control the impact and spread of pandemic. So, it the ripe time to implement ICT in healthcare to make maximum benefit out of it on one hand and to overcome scarcity of resource on other side. It can bring speed, convenience, and reliability in various aspects of healthcare ranging from prediction to treatment. In this paper authors have proposed one such comprehensive Covid management schema, for health infrastructure constrained countries like India, based on digitization of healthcare data, its intelligent analysis using Artificial Intelligence and remote patient care though telemedicine-based home treatment. Proposed schema considers historical EHR data comprising of structured health parameter data, unstructured imaging/genomic data and live semi structured critical parameter data collected through IoT devices. The proposed schema may relieve the extra burden on healthcare system by raising warning/alarm based on automated intelligent analysis of data. During this work authors have identified the critical role of Artificial Intelligence and need to tap its true potential in processing huge & inconsistent data produced by different sources. Real time analysis of data through some brute force method is not feasible, so we need intelligent solutions in detection and management of Covid. AI act as savior in this situation. ©2021 Copyright for this paper by its authors.