DETERMINATION OF RELATIONS BETWEEN SYSTOLIC BLOOD PRESSURE AND HEART ATTACK IN PATIENTS WITH TYPE 2 DIABETES WITH ASSOCIATION RULES

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.

SHARIATPANAHI SEYYED PAYAM; HABIBI DANIAL; RAFIEI MOHAMMAD; GHANDI YAZDAN; ANVARI MEHDI

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

Journal Paper

Paper Information

Journal: Journal of Arak University Medical Sciences Year:2018 | Volume:20 | Issue:12 (129) Page(s): 44-50

Download Full-Text

Persian Verion

View:

922

Download:

Cites:

Information Journal Paper

Title

DETERMINATION OF RELATIONS BETWEEN SYSTOLIC BLOOD PRESSURE AND HEART ATTACK IN PATIENTS WITH TYPE 2 DIABETES WITH ASSOCIATION RULES

Author(s)

Keywords

ASSOCIATION RULESQ2

DATA MININGQ2

HEART ATTACKQ1

TYPE 2 DIABETESQ1

Abstract

Background: Today, the high prevalence of diabetes and its complications are one of the most important public health issues worldwide. For this reason, finding relations between diabetes risk factors is very effective in preventing and reducing complications. For discovering these relations, the DATA MINING methods can be used. By extracting ASSOCIATION RULES, which is one of the DATA MINING techniques, we can discover the relations between a large numbers of variables in a disease.Materials and Methods: The population of this study was 1046 patients with TYPE 2 DIABETES, whose data had recorded between 2011 and 2014 at the Special Clinic for Diabetes in Tehran's Imam Khomeini Hospital. After pre-processing step with SPSS19 software, 573 people entered the analysis phase. The FP-Growth algorithm was applied to the data set to discover the relations between HEART ATTACK and other risk factors using Rapid miner5 software. Relations, after extraction, were given to the doctor to confirm clinical validation.Results: The obtained results of studying these 573 people (Including 292 (51%) women and 281 (49%) men, with age range 27 to 82 years) showed that the lack of blood pressure, creatinine and diastolic blood pressure at its normal level, despite higher systolic blood pressure level than normal, doesn' t increase the probability of HEART ATTACK.Conclusion: Using ASSOCIATION RULES is a good way of identifying relations between the risk factors of a disease. Also, it can provide new hypotheses to do epidemiological studies for researchers.

Cites

No record.

References

No record.

Cite

APA: Copy

SHARIATPANAHI, SEYYED PAYAM, HABIBI, DANIAL, RAFIEI, MOHAMMAD, GHANDI, YAZDAN, & ANVARI, MEHDI. (2018). DETERMINATION OF RELATIONS BETWEEN SYSTOLIC BLOOD PRESSURE AND HEART ATTACK IN PATIENTS WITH TYPE 2 DIABETES WITH ASSOCIATION RULES. ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ), 20(12 (129) ), 44-50. SID. https://sid.ir/paper/69792/en

Vancouver: Copy

SHARIATPANAHI SEYYED PAYAM, HABIBI DANIAL, RAFIEI MOHAMMAD, GHANDI YAZDAN, ANVARI MEHDI. DETERMINATION OF RELATIONS BETWEEN SYSTOLIC BLOOD PRESSURE AND HEART ATTACK IN PATIENTS WITH TYPE 2 DIABETES WITH ASSOCIATION RULES. ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ)[Internet]. 2018;20(12 (129) ):44-50. Available from: https://sid.ir/paper/69792/en

IEEE: Copy

SEYYED PAYAM SHARIATPANAHI, DANIAL HABIBI, MOHAMMAD RAFIEI, YAZDAN GHANDI, and MEHDI ANVARI, “DETERMINATION OF RELATIONS BETWEEN SYSTOLIC BLOOD PRESSURE AND HEART ATTACK IN PATIENTS WITH TYPE 2 DIABETES WITH ASSOCIATION RULES,” ARAK MEDICAL UNIVERSITY JOURNAL (AMUJ), vol. 20, no. 12 (129) , pp. 44–50, 2018, [Online]. Available: https://sid.ir/paper/69792/en

Related Journal Papers