Biometrics and Bioinformatics

Marziyeh Bahrami ¹, Maysam Toghraee ², Atefeh Heidarian ¹

Affiliations
1 Department of Electrical and Computer Engineering, Islamic Azad University, Qazvin Branch, Qazvin, IR
2 Department of Computer Engineering, Yasouj Branch, science and research, Islamic Azad University, Yasouj, IR

Abstract

Introduction: With the advent of IoT, will see exciting developments in the 21st century. Although most IoT is related to future products, warehousing, and smart factories, it is not limited to these, and are seeing significant improvements in the health care sector, including Reducing lab room waiting times; Remote and surveillance; Ensure access and availability of critical hardware; Personnel, patients and inventory tracking; Advanced medical management; Chronic illness management. Objective: Design an intelligent system for IoT based technology. Proposed Methods: First: Combining Game Theory Model and Proposed Markov Model and Research Status by Reviewing Articles on IoT and Intelligent Systems for Myocardial Infarction and Finally, according to Research Results, Using Soft Engineering Method MATLAB software is used to complete the design of an intelligent system for cardiac diagnosis. The purpose of this simulation is to save time; reduce the problems, combine the strategies into the dominant and weak dominant strategies, and combine different heart diseases with the combined strategy. Results: Based on smart systems based on hybrid strategy technology combined with Markov model and game theory, the processes of diagnosing different diseases, especially myocardial infarction, blood disease design, as well as predicting all cardiovascular diseases It is simulated in software environment.

Keywords

Internet of Things, Heart Attack Detection, Game Theory, Markov Model.

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Maysam Toghraee ¹

Affiliations
1 Maysam. Toghraee is with the Department of Computer Engineering,Science & Research, Yasouj Branch, Islamic Azad University, Yasouj, IR

Abstract

Now a day, developing the science and technology and technology tools, the ability of reviewing and saving the important data has been provided. It is needed to have knowledge for searching the data to reach the necessary useful results. Data mining is searching for big data sources automatically to find patterns and dependencies which are not done by simple statistical analysis. The scope is to study the predictive role and usage domain of data mining in medical science and suggesting a frame for creating, assessing and exploiting the data mining patterns in this field. As it has been found out from previous researches that assessing methods cannot be used to specify the data discrepancies, our suggestion is a new approach for assessing the data similarities to find out the relations between the variation in data and stability in selection. Therefore, Meta heuristic methods are used to choose the best and the stable algorithms among a set of algorithms.

Keywords

Feature Selection, Data Mining, Cluster Algorithm, Heuristic Methods.

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