TY - GEN
T1 - A Framework to Preserve and Examine Pandemic-Healthcare-Data Using IoMT
AU - Kadry, Seifedine
AU - Rajinikanth, Venkatesan
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2022
Y1 - 2022
N2 - Resent advancement in networking and communication system helped to enhance various domains, including the healthcare. The invention of the cloud computing, Internet of medical things (IoMT), and artificial intelligence (AI) invented the Healthcare 4.0, which supports the monitoring and examination of a variety of medical information using the digital techniques. This research aims to develop a diagnostic framework for the pandemic-healthcare-data (PHD) using the IoMT scheme. The proposed framework considers the examination of the patients admitted with the COVID-19 infection and supports the following procedures; (i) collecting the preliminary information about the patient, (ii) collecting the disease information, (iii) getting the experts opinion regarding the treatment planning and implementation, (iv) monitoring the patient, and (v) preserving the disease information for future use. The proposed scheme is developed by considering the COVID-19 PHD, and the methodology employed is discussed with a chosen procedures. When this scheme is implemented, the preserved data can be used to develop a medical model, which supports a quick diagnosis and timely treatment to recover the patient.
AB - Resent advancement in networking and communication system helped to enhance various domains, including the healthcare. The invention of the cloud computing, Internet of medical things (IoMT), and artificial intelligence (AI) invented the Healthcare 4.0, which supports the monitoring and examination of a variety of medical information using the digital techniques. This research aims to develop a diagnostic framework for the pandemic-healthcare-data (PHD) using the IoMT scheme. The proposed framework considers the examination of the patients admitted with the COVID-19 infection and supports the following procedures; (i) collecting the preliminary information about the patient, (ii) collecting the disease information, (iii) getting the experts opinion regarding the treatment planning and implementation, (iv) monitoring the patient, and (v) preserving the disease information for future use. The proposed scheme is developed by considering the COVID-19 PHD, and the methodology employed is discussed with a chosen procedures. When this scheme is implemented, the preserved data can be used to develop a medical model, which supports a quick diagnosis and timely treatment to recover the patient.
KW - COVID-19
KW - Data preservation
KW - Disease detection
KW - IoMT
KW - Treatment
UR - https://www.scopus.com/pages/publications/85135787903
U2 - 10.1007/978-981-19-2177-3_4
DO - 10.1007/978-981-19-2177-3_4
M3 - Conference contribution
AN - SCOPUS:85135787903
SN - 9789811921766
T3 - Lecture Notes in Electrical Engineering
SP - 27
EP - 35
BT - Disruptive Technologies for Big Data and Cloud Applications - Proceedings of ICBDCC 2021
A2 - Peter, J. Dinesh
A2 - Fernandes, Steven Lawrence
A2 - Alavi, Amir H.
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Big Data and Cloud Computing, ICBDCC 2021
Y2 - 20 August 2021 through 21 August 2021
ER -