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.
Published in | Cardiology and Cardiovascular Research (Volume 1, Issue 4) |
DOI | 10.11648/j.ccr.20170104.13 |
Page(s) | 113-116 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
Coronary Heart Disease, Prediction, Epidemiology, Markov Chain, Monte Carlo Methods
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APA Style
Pavlo Ivanchuk, Maria Ivanchuk. (2018). One Example of Using Markov Chain Monte Carlo Method for Predicting in Medicine. Cardiology and Cardiovascular Research, 1(4), 113-116. https://doi.org/10.11648/j.ccr.20170104.13
ACS Style
Pavlo Ivanchuk; Maria Ivanchuk. One Example of Using Markov Chain Monte Carlo Method for Predicting in Medicine. Cardiol. Cardiovasc. Res. 2018, 1(4), 113-116. doi: 10.11648/j.ccr.20170104.13
@article{10.11648/j.ccr.20170104.13, author = {Pavlo Ivanchuk and Maria Ivanchuk}, title = {One Example of Using Markov Chain Monte Carlo Method for Predicting in Medicine}, journal = {Cardiology and Cardiovascular Research}, volume = {1}, number = {4}, pages = {113-116}, doi = {10.11648/j.ccr.20170104.13}, url = {https://doi.org/10.11648/j.ccr.20170104.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ccr.20170104.13}, abstract = {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.}, year = {2018} }
TY - JOUR T1 - One Example of Using Markov Chain Monte Carlo Method for Predicting in Medicine AU - Pavlo Ivanchuk AU - Maria Ivanchuk Y1 - 2018/01/03 PY - 2018 N1 - https://doi.org/10.11648/j.ccr.20170104.13 DO - 10.11648/j.ccr.20170104.13 T2 - Cardiology and Cardiovascular Research JF - Cardiology and Cardiovascular Research JO - Cardiology and Cardiovascular Research SP - 113 EP - 116 PB - Science Publishing Group SN - 2578-8914 UR - https://doi.org/10.11648/j.ccr.20170104.13 AB - 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. VL - 1 IS - 4 ER -