MODELING BREAST CANCER USING DATA MINING METHODS

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DEHGHAN PARVANEH; MOGHARABI MAEDEH; ZABBAH IMAN; LAYEGHI KAMRAN; MAROOSI ALI

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Journal: Journal of Health and Biomedical Informatics Year:2018 | Volume:4 | Issue:4 Page(s): 266-278

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Title

MODELING BREAST CANCER USING DATA MINING METHODS

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Keywords

BREAST CANCERQ2

NEURAL NETWORKSQ2

LVQQ2

DATA MININGQ2

Abstract

Introduction: BREAST CANCER is the most common form of cancer in women. BREAST CANCER detection is considered as one of the most important issues in medical science. Diagnosis of benign or malignant type of cancer reduces costs and also is important in deciding about the treatment strategy. The aim of this study was to provide DATA MINING based models that have the predictability of BREAST CANCER detection.Methods: This study was descriptive-analytic. Its database included 683 independent records containing nine clinical variables in the UCI machine learning. Multilayer Perceptron artificial neural network, Bayesian Neural Network and LVQ neural network were used for classification of BREAST CANCER to benign and malignant types. In this study, 80% of data were used for network training and 20% were used for testing.Results: After pre-processing the data, different NEURAL NETWORKS with different architectures were used to detect BREAST CANCER. In the best condition, we could predict benign or malignant cancer in the MLP NEURAL NETWORKS, LVQ and Bayesian NEURAL NETWORKS with an average of ten tests with an accuracy of 97.5% and 97.6% and 98.3% respectively. Our investigations showed that Bayesian neural network had a better performance.Conclusion: BREAST CANCER is one of the most common cancers among women. Early diagnosis of disease reduces healthcare costs and increases patient survival chance. In this study, using DATA MINING techniques in diagnosis, the researchers were able to use Bayesian neural network to achieve high accuracy in diagnosis.

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APA: Copy

DEHGHAN, PARVANEH, MOGHARABI, MAEDEH, ZABBAH, IMAN, LAYEGHI, KAMRAN, & MAROOSI, ALI. (2018). MODELING BREAST CANCER USING DATA MINING METHODS. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, 4(4 ), 266-278. SID. https://sid.ir/paper/258931/en

Vancouver: Copy

DEHGHAN PARVANEH, MOGHARABI MAEDEH, ZABBAH IMAN, LAYEGHI KAMRAN, MAROOSI ALI. MODELING BREAST CANCER USING DATA MINING METHODS. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS[Internet]. 2018;4(4 ):266-278. Available from: https://sid.ir/paper/258931/en

IEEE: Copy

PARVANEH DEHGHAN, MAEDEH MOGHARABI, IMAN ZABBAH, KAMRAN LAYEGHI, and ALI MAROOSI, “MODELING BREAST CANCER USING DATA MINING METHODS,” JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, vol. 4, no. 4 , pp. 266–278, 2018, [Online]. Available: https://sid.ir/paper/258931/en

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