Game theory in designing mHealth apps for monitoring hypertension

Clim Antonio () and Zota Răzvan Daniel ()
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Clim Antonio: The Bucharest University of Economic Studies, Bucharest, Romania
Zota Răzvan Daniel: The Bucharest University of Economic Studies, Bucharest, Romania

Management & Marketing, 2019, vol. 14, issue 2, 220-231

Abstract: The Game Theory model provides revolutionary grounds for tackling problems in an optimal manner by considering various constraints and conditions. This research paper proposes a novel idea of monitoring, diagnosis and treatment of hypertension using game theory model using systematic review methodology. The theoretical framework for designing software called Hypertension Management System (HMS) is proposed using underlying principles of game theory by considering patients and doctors as players. The system is installed in the smartphones of players and its functioning follows the hierarchy of Big Data mining and extraction. The theoretical framework of HMS starts from data sensing through physical sensors, proceeds along layers for data processing and reduction, and finally arrives at the decision-making step to assist doctors in the treatment of disease. This novel system will reduce the mortality due to chronic diseases like hypertension by enabling game patients and doctors to deal with its symptoms in a timely manner according to feedback from previous data.

Keywords: Big Data; Bluehost cloud; Game Theory; Nash Equilibrium; Decision support interface; XML; Hypertension Management System (HMS) (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:manmar:v:14:y:2019:i:2:p:220-231:n:4

DOI: 10.2478/mmcks-2019-0015

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