BREAST CANCER DIAGNOSIS USING NON-PARAMETRIC KERNEL DENSITY ESTIMATION

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SHEIKHPOUR ROBAB; SHEIKHPOUR RAZIEH

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Journal: Razi Journal of Medical Sciences Year:2016 | Volume:23 | Issue:144 Page(s): 30-40

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Title

BREAST CANCER DIAGNOSIS USING NON-PARAMETRIC KERNEL DENSITY ESTIMATION

Author(s)

SHEIKHPOUR ROBAB | SHEIKHPOUR RAZIEH | Issue Writer Certificate

Keywords

BREAST CANCERQ2

NON-PARAMETRIC METHODQ1

KERNEL BASED DENSITY ESTIMATIONQ1

MACHINE LEARNING BRUSHQ1

Abstract

Background: BREAST CANCER is the most common cancer in women. An accurate and reliable system for early diagnosis of benign or malignant tumors seems necessary. We can design new methods using the results of FNA and data mining and machine learning techniques for early diagnosis of BREAST CANCER which able detection of BREAST CANCER with high accuracy. The aim of this study was to diagnosis of BREAST CANCER using non-parametric kernel density estimation.Methods: In this study, 699 samples of benign and malignancy with 9 characteristics from WBCD and 569 samples of benign and malignancy with 30 characteristics from WDBC were used. Then, a model based on non-parametric kernel density estimation was proposed for classification of WBCD and WDBC data.Results: The results of NON-PARAMETRIC METHODs showed that Gaussian kernel method based on Euclidean distance with accuracy %97.93 has the highest accuracy on WDBC data and Gaussian kernel based on Euclidean distance and k-nearest neighbor methods with accuracy %98.17 has the highest accuracy compared with other methods on WBCD data for BREAST CANCER disease.Conclusion: The result of this study showed that non-parametric kernel density estimation based classification can be used for BREAST CANCER diagnosis with high accuracy.

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APA: Copy

SHEIKHPOUR, ROBAB, & SHEIKHPOUR, RAZIEH. (2016). BREAST CANCER DIAGNOSIS USING NON-PARAMETRIC KERNEL DENSITY ESTIMATION. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), 23(144), 30-40. SID. https://sid.ir/paper/10082/en

Vancouver: Copy

SHEIKHPOUR ROBAB, SHEIKHPOUR RAZIEH. BREAST CANCER DIAGNOSIS USING NON-PARAMETRIC KERNEL DENSITY ESTIMATION. RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES)[Internet]. 2016;23(144):30-40. Available from: https://sid.ir/paper/10082/en

IEEE: Copy

ROBAB SHEIKHPOUR, and RAZIEH SHEIKHPOUR, “BREAST CANCER DIAGNOSIS USING NON-PARAMETRIC KERNEL DENSITY ESTIMATION,” RAZI JOURNAL OF MEDICAL SCIENCES (JOURNAL OF IRAN UNIVERSITY OF MEDICAL SCIENCES), vol. 23, no. 144, pp. 30–40, 2016, [Online]. Available: https://sid.ir/paper/10082/en

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