Game theory in designing mHealth apps for monitoring hypertension
| Autor: | Razvan Daniel Zota, Antonio Clim |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
game theory
Entrepreneurship nash equilibrium Knowledge management HF5001-6182 business.industry bluehost cloud decision support interface 02 engineering and technology xml 030204 cardiovascular system & hematology General Business Management and Accounting 03 medical and health sciences 0302 clinical medicine big data hypertension management system (hms) 0202 electrical engineering electronic engineering information engineering Business 020201 artificial intelligence & image processing Business management Psychology business Game theory mHealth |
| Zdroj: | Management şi Marketing, Vol 14, Iss 2, Pp 220-231 (2019) |
| ISSN: | 2069-8887 |
| DOI: | 10.2478/mmcks-2019-0015 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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