The prediction model for cardiovascular disease using Yazd's health study data (YaHS)

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Tabatabaei Nodoushan Seyed Mohammad Reza; Saadatjoo Fatemeh; MIRZAEI MASOUD

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Shahid Sadoughi University of Medical Sciences Year:2019 | Volume:27 | Issue:3 Page(s): 1346-1360

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

772

Download:

Cites:

Information Journal Paper

Title

The prediction model for cardiovascular disease using Yazd's health study data (YaHS)

Author(s)

Tabatabaei Nodoushan Seyed Mohammad Reza | Saadatjoo Fatemeh | MIRZAEI MASOUD | Issue Writer Certificate

Keywords

Data miningQ1

Health monitoringQ1

PredictionQ2

Ischemic heart diseaseQ2

Data balancingQ1

Rule induction CN2-SDQ1

Abstract

Introdution: Ischemic heart disease is one of the most common diseases, which has led to high mortality rates all over the world. This disease is caused by narrowing or blockage of coronary arteries, which are the provider of blood to the heart. Identifying the people susceptible to this disease and bringing changes in their lifestyles has been said to reduce the related mortality rates and increase the patient's longevity. Methods: Yazd people Health Study (YaHS) was conducted on a random sample of 10, 000 people living in the city of Yazd, Iran in the years 2014-15 for a general health and disease survey. These data were first balanced by bootstrapping technique due to their unbalanced nature. Next, classification methods were used in the training phase. Various classifiers, such as artificial neural network, rule inducer, regression, and AdaBoost were used in order to evaluate the proposed method with two scenarios. Results: The results showed that the screening of the people susceptible to Ischemic heart disease had the most significant effect on increasing the sensitivity of the discovery classifier of CN2 subgroup through using balanced data by bootstrapping method followed by their analysis for the purpose of producing a sample of the patients. This classifier proved to have the potential for detecting 83. 6% of the people susceptible to this disease. Conclusion: Therefore, it can be concluded that Data mining methods are effective in screening for susceptible people with Ischemic heart disease. This method can be compared with other traditional screening methods in that it is more cost-effective and faster.

Cites

No record.

References

Cohort Profile: The Yazd Health Study (YaHS): a population-based study of adults aged 20– 70 years (study design and baseline population data

Cite

APA: Copy

Tabatabaei Nodoushan, Seyed Mohammad Reza, Saadatjoo, Fatemeh, & MIRZAEI, MASOUD. (2019). The prediction model for cardiovascular disease using Yazd's health study data (YaHS). JOURNAL OF SHAHID SADOUGHI UNIVERSITY OF MEDICAL SCIENCES, 27(3 ), 1346-1360. SID. https://sid.ir/paper/36584/en

Vancouver: Copy

Tabatabaei Nodoushan Seyed Mohammad Reza, Saadatjoo Fatemeh, MIRZAEI MASOUD. The prediction model for cardiovascular disease using Yazd's health study data (YaHS). JOURNAL OF SHAHID SADOUGHI UNIVERSITY OF MEDICAL SCIENCES[Internet]. 2019;27(3 ):1346-1360. Available from: https://sid.ir/paper/36584/en

IEEE: Copy

Seyed Mohammad Reza Tabatabaei Nodoushan, Fatemeh Saadatjoo, and MASOUD MIRZAEI, “The prediction model for cardiovascular disease using Yazd's health study data (YaHS),” JOURNAL OF SHAHID SADOUGHI UNIVERSITY OF MEDICAL SCIENCES, vol. 27, no. 3 , pp. 1346–1360, 2019, [Online]. Available: https://sid.ir/paper/36584/en

Related Journal Papers