Paper Info
Title
An Integrated Methodology To Control The Risk Of Cardiovascular Disease In Patients With Hypertension And Type 1 Diabetes
Abstract
Today, air pollution, smoking, use of fatty acids and ready-made foods, and so on, have exacerbated heart disease. Therefore, controlling the risk of such diseases can prevent or reduce their incidence. The present study aimed at developing an integrated methodology including Markov decision processes (MDP) and genetic algorithm (GA) to control the risk of cardiovascular disease in patients with hypertension and type 1 diabetes. First, the efficiency of GA is evaluated against Grey Wolf optimization (GWO) algorithm, and then, the superiority of GA is revealed. Next, the MDP is employed to estimate the risk of cardiovascular disease. For this purpose, model inputs are first determined using a validated micro-simulation model for screening cardiovascular disease developed at Tehran University of Medical Sciences, Iran by GA. The model input factors are then defined accordingly and using these inputs, three risk estimation models are identified. The results of these models support WHO guidelines that provide medicine with a high discount to patients with high expected LYs. To develop the MDP methodology, policies should be adopted that work well despite the difference between the risk model and the actual risk. Finally, a sensitivity analysis is conducted to study the behavior of the total medication cost against the changes of parameters.
Year
DOI
Venue
2021
10.1111/coin.12418
COMPUTATIONAL INTELLIGENCE
Keywords
DocType
Volume
cardiovascular disease screening, genetic algorithm, heart disease, Markov decision processes, risk estimation
Journal
37
Issue
ISSN
Citations 
1
0824-7935
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Samar Shetaban100.34
Mir Mehdi Seyyed Esfahani200.34
Abbas Saghaei3417.70
Abbas Ahmadi46010.01