One Example of Using Markov Chain Monte Carlo Method for Predicting in Medicine
Cardiology and Cardiovascular Research
Volume 1, Issue 4, October 2017, Pages: 113-116
Received: Nov. 22, 2017;
Accepted: Dec. 4, 2017;
Published: Jan. 3, 2018
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Pavlo Ivanchuk, Internal Medicine, Physical Rehabilitation, Sports Medicine and Physical Training Department, Higher State Educational Establishment of Ukraine “Bucovinian State Medical University”, Chernivtsi, Ukraine
Maria Ivanchuk, Biological Physics and Medical Informatics Department, Higher State Educational Establishment of Ukraine “Bucovinian State Medical University”, Chernivtsi, Ukraine
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Coronary heart disease is one of the most frequent causes of death in Ukraine. With the purpose of conducting adequate preventive work and planning the provision of specialized medical care for patients with coronary heart disease, the proposed paper predicts the prevalence of this disease in the next 10 years. The problem of prediction is solved by using Markov Chain Monte Carlo Method. An increasing of the incidence of coronary heart disease to 35041.21 per 100,000 population in 2025 is predicted.
Coronary Heart Disease, Prediction, Epidemiology, Markov Chain, Monte Carlo Methods
To cite this article
One Example of Using Markov Chain Monte Carlo Method for Predicting in Medicine, Cardiology and Cardiovascular Research.
Vol. 1, No. 4,
2017, pp. 113-116.
Copyright © 2017 Authors retain the copyright of this article.
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Kovalenko V. M., Dorogiy A. P. Cardiovascular diseases: medical and social significance and strategy of cardiology development in Ukraine // Ukrainian Cardiology Journal. App. 3, 2016, pp. 5-14
Beck J. R., Pauker S. G. The Markov Process in Medical Prognosis// Med Decis Making. Vol. 3, 1983, No. 4, pp. 419-434
Sonnenberg F. A., Beck J. R. Markov Models in Medical Decision Making: A Practical Guide// Med Decis Making. Vol. 13, 1993, pp. 322-338
Schaefer A. J., Bailey M. D., Shechter S. M., Roberts M. S. Modeling Medical Treatment Using Markov Decision Processes// Operations Research And Health Care, 2005, pp. 598-616
Sato R. C., Zouain D. M. Markov Models in health care // Einstein, 2010, No 8, pp. 376-379
Hazen G. Cohort Decomposition for Markov Cost-Effectiveness Models // Medical Decision Making, 2011, Vol. 31, Iss. 1
Chikina N. A., Antonova I. V. Risk prognosis in medical insurance system of professional pathology // Herald of the National Technical University "KhPI". Subject issue: Information Science and Modelling, 2013, No 39 (1012), pp. 199–205
Gandzyuk V. A. An analysis of the incidence of coronary heart disease in Ukraine // Ukrainian Cardiology Journal. 2014, No. 3, pp. 45-52
Database of the population of Ukraine. Mortality rates by sex and age groups
Sokolov M. Yu. Register of percutaneous interventions // Heart and blood vessels, 2014, No. 3, pp. 10—23
Terenda N. O. Main tendencies and predictive estimations of general and primary incidence of coronary heart disease in Ukraine // Bulletin of social hygiene and health protection organizations of Ukraine, 2016, No. 3 (69), pp. 31-35