Correlation Analysis of Vital Signs to Monitor Disease Risks in Ubiquitous Healthcare System

Murtaza, Hassan and Iqbal, Muhammad Azhar and Abbasi, Qammer and Hussain, Sajjad and Xing, Huanlai and Imran, Muhammad (2020) Correlation Analysis of Vital Signs to Monitor Disease Risks in Ubiquitous Healthcare System. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 7 (24). p. 165676. ISSN 2410-0218

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Abstract

Healthcare systems for chronic diseases demand continuous monitoring of physiological parameters or vital signs of the patients’ body. Through these vital signs’ information, healthcare experts attempt to diagnose the behavior of a disease. Identifying the relationship between these vital signs is still a big question for the research community. We have proposed a sophisticated way to identify the affiliations between vital signs of three specific diseases i.e., Sepsis, Sleep Apnea, and Intradialytic Hypotension (IDH) through Pearson statistical correlation analysis. Vital signs data of about 32 patients were taken for analysis. Experimental results show significant affiliations of vital signs of Sepsis and IDH with average correlation coefficient of 0.9 and 0.58, respectively. The stability of the mentioned correlation is about 75% and 90%, respectively.

Item Type:	Article
Uncontrolled Keywords:	Ubiquitous Healthcare Systems, Vital Sign Analysis, Correlation Analysis
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science QA75 Electronic computers. Computer science
Depositing User:	EAI Editor II.
Date Deposited:	21 Jan 2021 06:55
Last Modified:	21 Jan 2021 06:55
URI:	https://eprints.eudl.eu/id/eprint/818

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