Abstract

QUIROZ MARTINEZ, Miguel Ángel; ARGUELLO RUIZ, Rodrigo Alexander; GOMEZ RIOS, Mónica Daniela  and  LEYVA VAZQUEZ, Maikel Yelandi. Evaluation of the potential of the internet of things in health through fuzzy cognitive maps. Conrado [online]. 2020, vol.16, n.75, pp. 131-136.  Epub Aug 02, 2020. ISSN 1990-8644.

Internet of Things has spread its application to almost every aspect in our lives during the last years. Even the Health sector has taken advantage of IoT. Radio Frequency Identification and ZigBee technologies can be used to reduce work times and costs by connecting smart devices to the Internet, which allows the creation of monitoring and control systems for patients in hospitals and clinics. Fuzzy Cognitive Maps (FCM) improve cognitive maps, describing the strength of the relationship by using fuzzy values in the interval [-1,1]. Given the great utility of FCM, they have been extended to model various situations. Thus, they can be used to represent mental models and be of great help in decision making processes. This methodology allows creating and enriching decision models, in which vague and imprecise information is represented through linguistic variables. In this paper we propose to model an FCM by defining critical success factors of IoT projects applied to health. After processing the adjacency matrix, indegree, outdegree and centrality values for each factor, we concluded that the most important factor is Decrease mortality.

Keywords : Critical success factors; decision making; technology; health; strategy approach; fuzzy cognitive maps.

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