ESTIMATING SURVIVAL RATE OF KIDNEY TRANSPLANTS BY USING DATA MINING

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.

SHAHMORADI LEILA; LANGARIZADEH MOSTAFA; POURMAND GHOLAMREZA; AGHSAEIFARD ZIBA; BORHANI ALIREZA

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

Journal Paper

Paper Information

Journal: Koomesh Year:2017 | Volume:19 | Issue:2 (66) Page(s): 253-263

Download Full-Text

Persian Verion

View:

902

Download:

Cites:

Information Journal Paper

Title

ESTIMATING SURVIVAL RATE OF KIDNEY TRANSPLANTS BY USING DATA MINING

Author(s)

Keywords

DATA MININGQ1

SURVIVAL ANALYSISQ2

KIDNEY TRANSPLANTATIONQ3

PREDICTIONQ1

CRISP METHODOLOGYQ1

Abstract

Introduction: todays, kidney failure is one of the costly problems of human society and use of renal replacement therapy is increasing in the world and Iran. SURVIVAL ANALYSIS is one of the fields in medical prognosis and DATA MINING is a process of discovering unknown relationship and is a useful pattern from data and is known as a highly efficient method in SURVIVAL ANALYSIS. Conclusively, the purpose of this study is predicting the survival of the kidney transplant patient's according to variables before kidney transplant.Materials and Methods: In order to identify important factors for predicting survival in kidney transplant, informative requirements assessment was done by using self-designed questionnaire. Then, obtained information from the analysis of questionnaire was reviewed and data from 513 medical record of kidney patient in Sina Urology Research Center was extracted. Ultimately, by applying CRISP METHODOLOGY, DATA MINING was done by IBM SPSS Modeler 14.2 and C.5 algorithm.Results: In this study, BMI, ESRD and dialysis time were evaluated as the most effective factors in survival kidney transplant and extracted rules from the model can be used for predicting the survival of the transplanted kidney before the surgery. Accuracy rate of this model was estimated at 96.77%.Conclusion: The high accuracy rate of C5.0 model shows the power of it in survival PREDICTION. Furthermore, the most effective kidney transplant survival factors were identified and kidney transplanted survival of a new patient with distinctive features, can be predicted.

Cites

No record.

References

Cite

APA: Copy

SHAHMORADI, LEILA, LANGARIZADEH, MOSTAFA, POURMAND, GHOLAMREZA, AGHSAEIFARD, ZIBA, & BORHANI, ALIREZA. (2017). ESTIMATING SURVIVAL RATE OF KIDNEY TRANSPLANTS BY USING DATA MINING. KOOMESH, 19(2 (66)), 253-263. SID. https://sid.ir/paper/358898/en

Vancouver: Copy

SHAHMORADI LEILA, LANGARIZADEH MOSTAFA, POURMAND GHOLAMREZA, AGHSAEIFARD ZIBA, BORHANI ALIREZA. ESTIMATING SURVIVAL RATE OF KIDNEY TRANSPLANTS BY USING DATA MINING. KOOMESH[Internet]. 2017;19(2 (66)):253-263. Available from: https://sid.ir/paper/358898/en

IEEE: Copy

LEILA SHAHMORADI, MOSTAFA LANGARIZADEH, GHOLAMREZA POURMAND, ZIBA AGHSAEIFARD, and ALIREZA BORHANI, “ESTIMATING SURVIVAL RATE OF KIDNEY TRANSPLANTS BY USING DATA MINING,” KOOMESH, vol. 19, no. 2 (66), pp. 253–263, 2017, [Online]. Available: https://sid.ir/paper/358898/en

Related Journal Papers