Abstract
COVID-19 is a disease that is caused by a new virus, coronavirus, which first appeared in China and a few months; it spread all over the globe, infecting many people. This disease shows very common symptoms like fever, cough, and tiredness, which makes it more difficult to know if the person is infected or not. There have been a lot of struggles in finding a way to detect the virus in a human body and manage the infected at the same time. There is an immense increase in the number of infected cases, so it becomes difficult to manage patients with proper resources and medical facilities, leading to an increase in casualties. To overcome the difficulty, this study proposes fast and efficient methods for the detection of the virus and proper treatment. COVID-19 patient management and triaging means accurately identifying patients or detecting COVID-19 and categorizing the patients or sorting them accordingly for their proper management. This study aims to help the government and health care system take relevant steps to detect and manage COVID-19 patients. Also, with the details and symptoms of the infected person, we can categorize the person as a mild, critical, or severe case. The proposed methods in the chapter have shown promised results while testing on COVID CT Scan Images and patients’ symptoms dataset.
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Appendix
Appendix
1 Dr. Harleen Kaur, Post Doc. Research Fellow, Ph.D. (CS) (Fellow, IETE) (Visiting Professor)
Dr. Kaur is an Associate Professor and Chief Investigator at the School of Engineering Sciences and Technology at Jamia Hamdard, New Delhi, India. She is a visiting Professor at TWAS, Italy. She recently worked as Research Fellow at United Nations University (UNU) Tokyo, Japan, International Centre for Excellence-IIGH, Malaysia to conduct research on funded projects from Southeast Asian Nations (SEAN). She is currently working as Principal Investigator on an Indo-Poland bilateral International project funded by the Ministry of Science and Technology, India, and the Ministry of Polish, Poland. Recently, Dr. Kaur got a research funding project from the Ministry of Electronics and Information Technology (MeitY) (Govt. of India), India on the Cybersecurity and Internet of Technologies. She has published more than 100 publications in SCI, referred Journals, and esteemed Conferences. She has published three patents and author of several copyrights. She is the author and editor of many books and Journals in the area of Sustainable Development, Machine Learning, and its applications.
She is a member of several international bodies and received many national and international awards in the research area. Her key research areas include information analytics, applied machine learning, and predictive modeling.
Her publications:
https://scholar.google.com/citations?hl=en&user=NcnUvt0AAAAJ&view_op=list_works&sortby=pubdate
2 Iftikhar Alam
Iftikhar Alam is an undergraduate student of Engineering in Computer Science. His area of interest is the application of machine learning algorithms on pandemic medical datasets.
3 Dr. Ritu Chauhan Ph.D. (CS)
Ritu Chauhan has completed her Ph.D. in Computer Science from Jamia Hamdard, University on Applications of Data Mining techniques in Spatial Databases. She graduated from the University of Delhi, New Delhi. She has previously served as a Lecturer in Computer Science, IMI. Currently, she is working as Assistant Professor in Centre for Computational Biology and Bioinformatics, Amity University. She has published numerous research articles in refereed international journals, conference proceedings, and chapters in an edited book. She is a member of several international bodies. Dr. Ritu has received a funded project from the Ministry of Electronics and Information Technology (MeitY) on the Internet of Technologies. Ritu Chauhan received her B.Sc. degree in Maths from the University of Delhi, New Delhi, and her M.Sc. in Computer Science from Jamia Hamdard University, 2004. Further, she has completed her Ph.D. in Computer Science from Jamia Hamdard, University on Applications of Data Mining techniques in Spatial Databases. She has published numerous research articles in refereed international journals and conference proceedings with chapters in an edited book. She has published three patents and author of several copyrights. She has also served as a reputed member of several national and international bodies. Dr. Ritu has received several national and international grants, awards, and fellowships for excellence in the research area. Her research interests include Data Sciences, IoT, Artificial Intelligence, Spatial systems, and Data analysis for varied application domains.
Her publications:
https://scholar.google.co.in/citations?user=tocwM4MAAAAJ&hl=en
4 Dr. Bhavya Alankar Ph.D. (CSE) M.Tech. (CSE) (Fellow, IETE)
Dr. Alankar is currently working as a senior faculty at the Department of Computer Science and Engg. at Jamia Hamdard, New Delhi, India. Previously employed at the National Institute of Technology (NIT), Jalandhar, India. He has done his Ph.D. in Reconfigurable Computing from Uttarakhand Technical University, India, and Masters in Technology in VLSI design from CDAC, Mohali, India and. He has 15 years of teaching and research experience. His research interests are in VLSI design, Cloud computing, Deep learning, Reconfigurable computing. He is the author and editor of books in the area on VLSI, Machine Learning, and IoT. Dr. Alankar has published four patents and author of several copyrights. He has received many awards and recognition from International bodies.
His publications: https://www.researchgate.net/profile/Bhavya_Alankar
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Kaur, H., Alam, I., Chauhan, R., Alankar, B. (2022). COVID-19 Patients Management and Triaging Using Machine Learning Techniques. In: Chang, V., Kaur, H., Fong, S.J. (eds) Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases. Studies in Computational Intelligence, vol 1023. Springer, Cham. https://doi.org/10.1007/978-3-031-04597-4_10
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