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Health Symptom Checking System for Elderly People Using Fuzzy Analytic Hierarchy Process

Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Department of Computer Science and Information Engineering, National Taipei University, New Taipei City 23741, Taiwan
Department of Neurology, Chang Gung Memorial Hospital, Taoyuan 33333, Taiwan
Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ 85308, USA
Author to whom correspondence should be addressed.
Appl. Syst. Innov. 2018, 1(2), 10;
Received: 16 January 2018 / Revised: 4 April 2018 / Accepted: 4 April 2018 / Published: 10 April 2018
(This article belongs to the Special Issue Healthcare System Innovation)
PDF [4577 KB, uploaded 3 May 2018]


The ever-escalating rise in numbers of the aging population has preempted a revolutionary change in the healthcare sector and serves as a major counterpoint to modern life in the 21st century. Increasing demand being placed on the health sector is almost certainly an inevitable process. However, providing appropriate healthcare services is requisite for senior citizens who suffer from various health issues and conditions. To minimize these health risks, we derived an intuitive technique for determining the incongruity of health symptoms by using a symptom checker, which is embedded into a versatile mobile app named Help-to-You (H2U). The designed app helps the users and carers to determine and identify conceivable reasons for elderly ailments and to assist users in deciding when to counsel a health practitioner. The intention of this empirical study was to further analyze and foresee certain variations of infections based on the symptoms accounted for by the patient. The recommended solution consolidated conceptual design with multi-criteria decision analysis (MCDA) technique and an analytic hierarchy process (AHP) with fuzzy weights to deal with the uncertainty of imprecision and ambiguity resulting from various disease factors. Experimental results verified the effectiveness of the proposed model, subsequently providing a variety of life assistance services. View Full-Text
Keywords: symptom checker; mobile app; H2U; healthcare service; MCDA; fuzzy AHP; decision support symptom checker; mobile app; H2U; healthcare service; MCDA; fuzzy AHP; decision support

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Huang, Y.-P.; Basanta, H.; Kuo, H.-C.; Huang, A. Health Symptom Checking System for Elderly People Using Fuzzy Analytic Hierarchy Process. Appl. Syst. Innov. 2018, 1, 10.

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Appl. Syst. Innov. EISSN 2571-5577 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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