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User Profiling in Elderly Healthcare Services in China: Scalper Detection

Yang, P User Profiling in Elderly Healthcare Services in China: Scalper Detection. IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194 (Accepted)

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Abstract

Driven by the automation technologies and health informatics of Industry 4.0, hospitals in China have deployed a complete automation system/platform for healthcare services accessing. Without much more Internet knowledge, elderlies usually seek the third-party to assist them to get healthcare services from Web or APPs, it consequently results in an unexpected situation that scalpers could grab all healthcare services booking by unrighteous means in order to re-sell to elderlies for a much higher price. Moreover, it is hard for physicians to identify the scalpers due to the complexity, ad-hoc and multi-scenario nature of healthcare processes. In this paper, a novel method is proposed for the identification and creation of user groups of scalpers in mobile healthcare services. The approach utilizes and extends state-of-the-art data analysis approaches in the event-logs of the mobile system to identify user groups. Based on the user groups, user profiles are extracted by identifying representative eventcases from hierarchical user-event clusters. A comprehensive evaluation is conducted in a selected test-set from the eventlogs of a mobile healthcare APP. The result shows its accuracy and effectiveness in scalper detection in mobile healthcare APP. Further, a complete case study is deployed in a real word hospital to ensure its utility, efficacy, and reliability.

Item Type: Article
Additional Information: © 2018 IEEE
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > RA Public aspects of medicine
Divisions: Computer Science
Publisher: Institute of Electrical and Electronics Engineers
Date Deposited: 05 Jul 2018 09:54
Last Modified: 05 Jul 2018 14:33
URI: http://researchonline.ljmu.ac.uk/id/eprint/8915

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