NDLI: Study on Temporal Patterns of Medical Emergency Call

Content Provider	IEEE Xplore Digital Library
Author	Kuiyu Ma Wenjun Wang Ning Yuan Xiaotong Chi
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Software, Tianjin Univ., Tianjin, China (Kuiyu Ma; Xiaotong Chi) \|\| Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China (Wenjun Wang) \|\| Dept. of Basic Courses, Tianjin Univ., Tianjin, China (Ning Yuan)
Abstract	The quantitative analysis of human behavior is an effective way to understand human communication behavior, and some relevant empirical researches have revealed that human communication behavior would follow power-law distribution rather than Poisson distribution in temporal characteristics. As to the sudden emergency call behavior, the analysis of temporal patterns is crucial to hospitals and patients. Based on the quantitative analysis of interval time distribution, burstiness and memory of medical emergency call data of a metropolitan city in China, we find that the maximum call happen at 9:00 and the least in the night 4:00. While to the regional statistics, District A has the maximum call in the aspect of area, population and call amount. On the other hand, different individuals' emergency call at the group level shows a power-law distribution on temporal patterns, and in about two hours, the position slightly bulges, while in five or seven days, the position fluctuates slightly. Individuals who take more medical emergency calls have more obvious burstiness character, in terms of burstiness and memory, and all individuals show weak memory character. In this paper, we do the quantitative analysis of temporal patterns of medical emergency call based on the medical emergency call data, which could provide data basis for scientific rational allocation of aid resources and effective emergency measures, in order to further adjust and improve aid resources, and help to improve the efficiency of pre-hospital care.
Starting Page	403
Ending Page	407
File Size	335205
Page Count	5
File Format	PDF
e-ISBN	9781467393232
DOI	10.1109/ISKE.2015.96
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	medical emergency call Hospitals Economic indicators Sociology Burstiness Memory Cities and towns Probability distribution Communication behavior temporal patterns Statistics Standards
Content Type	Text
Resource Type	Article

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