An Algorithm for Predicting Recurrence of Breast Cancer Using Genetic Algorithm and Nearest Neighbor Algorithm

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Sadeghi Setayesh; Golabpour Amin

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Journal: Journal of Health and Biomedical Informatics Year:2020 | Volume:6 | Issue:4 Page(s): 309-319

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Information Journal Paper

Title

An Algorithm for Predicting Recurrence of Breast Cancer Using Genetic Algorithm and Nearest Neighbor Algorithm

Author(s)

Sadeghi Setayesh | Golabpour Amin | Issue Writer Certificate

Keywords

Breast Cancer Recurrence

Genetic Algorithm

Nearest Neighbor Algorithm

Abstract

Introduction: breast cancer is the most prevalent malignancy, and one of the most common types of cancer among women around the world that has showed a growing trend in recent years. There is always a probability of recurrence in patients who suffer from this disease. There are many factors that increase or decrease this probability. Data mining is one of the methods that can be used to predict or diagnose cancers. Recurrence detection of breast cancer is one of the most common applications of data mining. Method: In this retrospective study, data of 699 breast cancer patients with 14 characteristics were collected from patients' records of Jahad Daneshgahi University from 2012 to 2015 and used. From all, 458 patients (66%) did not have recurrence, while in 241 patients (34 %) recurrence was observed. In this study, through combining k nearest neighbor (KNN) and Genetic Algorithm (GA), a hybrid approach was proposed to predict recurrence of breast cancer. First, KNN was applied to predict recurrence of breast cancer and then, GA was used to reduce unnecessary independent variables to provide a more accurate model of accuracy. Results: The number of independent variables was 14 variables, which was reduced to 6 variables by Genetic Algorithm to make the prediction model more efficient. We used accuracy as the criterion to evaluate performance of the model, and it was obtained 77. 14% which is higher than the accuracy of alternative methods. Conclusion: In comparison to other alternative methods, the proposed method is more accurate.

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APA: Copy

Sadeghi, Setayesh, & Golabpour, Amin. (2020). An Algorithm for Predicting Recurrence of Breast Cancer Using Genetic Algorithm and Nearest Neighbor Algorithm. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, 6(4 ), 309-319. SID. https://sid.ir/paper/957710/en

Vancouver: Copy

Sadeghi Setayesh, Golabpour Amin. An Algorithm for Predicting Recurrence of Breast Cancer Using Genetic Algorithm and Nearest Neighbor Algorithm. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS[Internet]. 2020;6(4 ):309-319. Available from: https://sid.ir/paper/957710/en

IEEE: Copy

Setayesh Sadeghi, and Amin Golabpour, “An Algorithm for Predicting Recurrence of Breast Cancer Using Genetic Algorithm and Nearest Neighbor Algorithm,” JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, vol. 6, no. 4 , pp. 309–319, 2020, [Online]. Available: https://sid.ir/paper/957710/en

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