AHP-based multi-criteria decision-making approach for monitoring health management practices in smart healthcare system

Nowadays, artificial intelligence, internet of things and Blockchain-based approaches play a pivotal role in making the complex operations related to monitoring and maintenance simpler and more effective for various complex systems. In this study, a multi-criteria decision making technique named analytical hierarchy process (AHP) has been used for ranking the best alternative for monitoring health management practices in a smart healthcare system. In case of various conflicting criteria, a perfect blend of mathematics, Intelligence, and psychology can give solutions to various complex decision-making problems. Therefore, various Multiple-criteria decision-making methods can be a game-changer for such complex real-world problems. Here, four special criteria’s viz. calm state of mind, energetic body, good immune system and inculcating awareness are considered and to define the decision structure two alternatives (weight management processes) i.e. exercise and nutritious diet are considered that need to be prioritized using the AHP. In overall, the results revealed that there are no significant imbalances in the weightings of the various choices. But, the calm state of mind was the most important factor considered whereas inculcating awareness has been declared the least important. As far as the ranking between the two weight management processes is concerned, around 58 per cent is the weightage of the nutritious diet whereas exercise has around 42 per cent weightage i.e. nutritious diet have an edge over exercise.