THE EFFECT OF SOME GENETIC MUTATIONS ON ENDOMETRIOSIS USING DATA MINING TECHNIQUES

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BAHRAMI L.; SADEGHI BIGHAM B.; KAMALI K.

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Journal Paper

Paper Information

Journal: Journal of Advances in Medical and Biomedical Research Year:2016 | Volume:24 | Issue:105 Page(s): 97-106

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Title

THE EFFECT OF SOME GENETIC MUTATIONS ON ENDOMETRIOSIS USING DATA MINING TECHNIQUES

Author(s)

BAHRAMI L. | SADEGHI BIGHAM B. | KAMALI K. | Issue Writer Certificate

Keywords

DATA MININGQ1

ENDOMETRIOSISQ1

CLASSIFICATIONQ1

WEKAQ1

MLPQ1

K-STARQ3

NAÏVE BAYESQ1

J48Q1

Abstract

Background and Objective: ENDOMETRIOSIS is a prevalent disease in women which may lead to infertility or low fertility. Grasping the genetic grounds for the disease may contribute to its treatment because it is presumed that genetic factors predispose to ENDOMETRIOSIS risk factors.Materials and Methods: 9 genes involved in ENDOMETRIOSIS in patients suffering from ENDOMETRIOSIS and also in healthy individuals (total 260 samples) were examined. The data were obtained from Ibn Sina (Jahad Daneshgahi) Research Center of new Technologies in Biological Sciences Institute. The study incorporated standard process Crisp for DATA MINING. WEKA DATA MINING and software modeling were implemented with the aid of four algorithms.Results: Comparison of four algorithms implied prominent accuracy of K-STAR model. Meanwhile, filtering, while reducing the percentage of models, presented a positive impact on the MLP model. The lowest percentage pertained to NAÏVE BAYES.Conclusion: K-STAR model without any filtering proved to have the highest accuracy in the early diagnosis of ENDOMETRIOSIS.

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APA: Copy

BAHRAMI, L., SADEGHI BIGHAM, B., & KAMALI, K.. (2016). THE EFFECT OF SOME GENETIC MUTATIONS ON ENDOMETRIOSIS USING DATA MINING TECHNIQUES. JOURNAL OF ADVANCES IN MEDICAL AND BIOMEDICAL RESEARCH, 24(105), 97-106. SID. https://sid.ir/paper/61469/en

Vancouver: Copy

BAHRAMI L., SADEGHI BIGHAM B., KAMALI K.. THE EFFECT OF SOME GENETIC MUTATIONS ON ENDOMETRIOSIS USING DATA MINING TECHNIQUES. JOURNAL OF ADVANCES IN MEDICAL AND BIOMEDICAL RESEARCH[Internet]. 2016;24(105):97-106. Available from: https://sid.ir/paper/61469/en

IEEE: Copy

L. BAHRAMI, B. SADEGHI BIGHAM, and K. KAMALI, “THE EFFECT OF SOME GENETIC MUTATIONS ON ENDOMETRIOSIS USING DATA MINING TECHNIQUES,” JOURNAL OF ADVANCES IN MEDICAL AND BIOMEDICAL RESEARCH, vol. 24, no. 105, pp. 97–106, 2016, [Online]. Available: https://sid.ir/paper/61469/en

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