Bayesian MCMC Approach in Prognostic Modelling of Cardiovascular Disease in Malaysia: A Convergence Diagnostic-Reference-Cited by-同舟云学术

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Bayesian MCMC Approach in Prognostic Modelling of Cardiovascular Disease in Malaysia: A Convergence Diagnostic

Published:2022-12-06 Issue: Volume: Page:130-140
ISSN:
Container-title:Proceedings of the International Conference on Mathematical Sciences and Statistics 2022 (ICMSS 2022)
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Author:

Juhan Nurliyana,Zubairi Yong Zulina,Zuhdi Ahmad Syadi Mahmood,Khalid Zarina Mohd

Publisher

Atlantis Press International BV

Reference37 articles.

1. WHO. Cardiovascular Diseases (CVDs) (2021)

2. Chan, Y.Y., et al.: Self-reported modifiable risk factors of cardiovascular disease among older adults in Malaysia: a cross-sectional study of prevalence and clustering. Int. J. Environ. Res. Public Health 18, 7941 (2021)

3. Touloumi, G., et al.: High prevalence of cardiovascular risk factors in adults living in Greece: the EMENO national health examination survey. BMC Public Health 20, 1 (2020)

4. Virani, S.S., et al.: Heart disease and stroke statistics-2020 update: a report from the American heart association. Circulation 141, E139 (2020)

5. Shabbir, A., Sinhji Rathod, K., Syrus Khambata, R., Ahluwalia, A.: Sex differences in the inflammatory response: pharmacological opportunities for therapeutics for coronary artery disease. Annu. Rev. Pharmacol. Toxicol. 61, 333–359 (2021)

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1. Application of Bayes Rule for Precise Analysis of Class-Imbalanced Stroke Data;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

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