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A theoretical model of healthcare monitoring surveillance system for patients with severe allergies

Allergies influenced by some unwanted foods, dust, and pollens create quick reactions, which may be basic skin diseases, life-threatening disorders, and serious breathing problems such as asthma. The most severe allergic reaction data is quickly and efficiently handled by the healthcare monitoring...

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Main Authors:	Qureshi, Muhammad Shuaib, Qureshi, Muhammad Bilal, Khan, Azam, Sajid Raja, Maryum, Shah, Asadullah
Format:	Article
Language:	English English
Published:	Institute of Advanced Science Extension 2020
Subjects:	BPH Islamic Economics T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/81873/1/81873_A%20theoretical%20model%20of%20healthcare.pdf http://irep.iium.edu.my/81873/2/81873_A%20theoretical%20model%20of%20healthcare_WOS.pdf http://irep.iium.edu.my/81873/ http://science-gate.com/IJAAS/Articles/2020/2020-7-6/1021833ijaas202006009.pdf https://doi.org/10.21833/ijaas.2020.06.009
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spelling	my.iium.irep.818732020-08-07T07:55:12Z http://irep.iium.edu.my/81873/ A theoretical model of healthcare monitoring surveillance system for patients with severe allergies Qureshi, Muhammad Shuaib Qureshi, Muhammad Bilal Khan, Azam Sajid Raja, Maryum Shah, Asadullah BPH Islamic Economics T10.5 Communication of technical information Allergies influenced by some unwanted foods, dust, and pollens create quick reactions, which may be basic skin diseases, life-threatening disorders, and serious breathing problems such as asthma. The most severe allergic reaction data is quickly and efficiently handled by the healthcare monitoring systems when merged with the information and communication technologies (ICT). A four-month study was conducted with the existing healthcare monitoring systems to know how quickly they provide solutions to the patients suffering from severe allergies. The study comprises collecting patients data, especially children under the age of five years, which include regular and specific food they eat, hygienic or dusty surrounding, environmental conditions influenced by allergy creation actors and quality of life before and after the allergic reactions. Accuracy of the data depends on the efficiency of the Healthcare Monitoring Surveillance System (HMSS), which employs the Multiple-Input Multiple-Output (MIMO) scheme as a new mechanism. In this research work, HMSS with MIMO technology provides not only better accuracy, quality of life, and quickness as compared to existing state-of-the-art HMSSs, but also improves the lifetime of the monitoring system with reliability, maintainability, and availability. The produced results show the supremacy of the proposed mechanism when accuracy is the main concern. Institute of Advanced Science Extension 2020-03 Article PeerReviewed application/pdf en http://irep.iium.edu.my/81873/1/81873_A%20theoretical%20model%20of%20healthcare.pdf application/pdf en http://irep.iium.edu.my/81873/2/81873_A%20theoretical%20model%20of%20healthcare_WOS.pdf Qureshi, Muhammad Shuaib and Qureshi, Muhammad Bilal and Khan, Azam and Sajid Raja, Maryum and Shah, Asadullah (2020) A theoretical model of healthcare monitoring surveillance system for patients with severe allergies. international Journal of Advanced and Applied Sciences, 7 (6). pp. 69-75. ISSN 2313-626X E-ISSN 2313-3724 http://science-gate.com/IJAAS/Articles/2020/2020-7-6/1021833ijaas202006009.pdf https://doi.org/10.21833/ijaas.2020.06.009
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English English
topic	BPH Islamic Economics T10.5 Communication of technical information
spellingShingle	BPH Islamic Economics T10.5 Communication of technical information Qureshi, Muhammad Shuaib Qureshi, Muhammad Bilal Khan, Azam Sajid Raja, Maryum Shah, Asadullah A theoretical model of healthcare monitoring surveillance system for patients with severe allergies
description	Allergies influenced by some unwanted foods, dust, and pollens create quick reactions, which may be basic skin diseases, life-threatening disorders, and serious breathing problems such as asthma. The most severe allergic reaction data is quickly and efficiently handled by the healthcare monitoring systems when merged with the information and communication technologies (ICT). A four-month study was conducted with the existing healthcare monitoring systems to know how quickly they provide solutions to the patients suffering from severe allergies. The study comprises collecting patients data, especially children under the age of five years, which include regular and specific food they eat, hygienic or dusty surrounding, environmental conditions influenced by allergy creation actors and quality of life before and after the allergic reactions. Accuracy of the data depends on the efficiency of the Healthcare Monitoring Surveillance System (HMSS), which employs the Multiple-Input Multiple-Output (MIMO) scheme as a new mechanism. In this research work, HMSS with MIMO technology provides not only better accuracy, quality of life, and quickness as compared to existing state-of-the-art HMSSs, but also improves the lifetime of the monitoring system with reliability, maintainability, and availability. The produced results show the supremacy of the proposed mechanism when accuracy is the main concern.
format	Article
author	Qureshi, Muhammad Shuaib Qureshi, Muhammad Bilal Khan, Azam Sajid Raja, Maryum Shah, Asadullah
author_facet	Qureshi, Muhammad Shuaib Qureshi, Muhammad Bilal Khan, Azam Sajid Raja, Maryum Shah, Asadullah
author_sort	Qureshi, Muhammad Shuaib
title	A theoretical model of healthcare monitoring surveillance system for patients with severe allergies
title_short	A theoretical model of healthcare monitoring surveillance system for patients with severe allergies
title_full	A theoretical model of healthcare monitoring surveillance system for patients with severe allergies
title_fullStr	A theoretical model of healthcare monitoring surveillance system for patients with severe allergies
title_full_unstemmed	A theoretical model of healthcare monitoring surveillance system for patients with severe allergies
title_sort	theoretical model of healthcare monitoring surveillance system for patients with severe allergies
publisher	Institute of Advanced Science Extension
publishDate	2020
url	http://irep.iium.edu.my/81873/1/81873_A%20theoretical%20model%20of%20healthcare.pdf http://irep.iium.edu.my/81873/2/81873_A%20theoretical%20model%20of%20healthcare_WOS.pdf http://irep.iium.edu.my/81873/ http://science-gate.com/IJAAS/Articles/2020/2020-7-6/1021833ijaas202006009.pdf https://doi.org/10.21833/ijaas.2020.06.009
_version_	1675327164565684224
score	13.211869

A theoretical model of healthcare monitoring surveillance system for patients with severe allergies

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