Evaluation using AHP-fuzzy theory showed that operation learning and information processing are the most important elements for an elderly health examination APP.
Elderly health check application evaluation
Elderly health examination APP evaluation method (AHP-fuzzy theory)
Evaluation elements of the health check APP
This research hopes to provide scientific research support for the optimization and development of the elderly health check application by studying the evaluation method of the elderly health check APP, so that the elderly users can easily enjoy the intelligent health check service. First, use the in-depth interview method and the affinity graph analysis method to extract the evaluation elements, and then use the comprehensive evaluation method that combines the analytic hierarchy process and the fuzzy theory to evaluate the health check APP for the elderly. The results show that in the evaluation research of the elderly health examination APP, the operation learning and information processing of the software are the most important. For the elderly, a health examination APP that can be used quickly and has clear and accurate information processing functions is the most satisfactory. When designing the elderly health check application program, the physical and mental factors of the elderly should be considered, taking the elderly as the center, and designing a health check application suitable for the elderly according to the characteristics of the elderly.
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Lu-Ting Xia
National Cheng Kung University
Chun-Heng Ho
National Cheng Kung University
Xing-Min Lin
China Southern Power Grid (China)
Mathematical Biosciences & Engineering
National Cheng Kung University
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Xia et al. (Fri,) conducted a other in Elderly health check application evaluation. Elderly health examination APP evaluation method (AHP-fuzzy theory) was evaluated on Evaluation elements of the health check APP. Evaluation using AHP-fuzzy theory showed that operation learning and information processing are the most important elements for an elderly health examination APP.
synapsesocial.com/papers/6a1d56c3750575be8d2f68a4 — DOI: https://doi.org/10.3934/mbe.2021240