Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm

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MOMENY MOHAMMAD; LATIF Ali Mohammad; AGHA SARRAM MEHDI; Hajmirzazade Kazem; Gharravi Sorayya; NaghiboAlghara Seyed Mahammad

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Journal: Journal of Health and Biomedical Informatics Year:2019 | Volume:6 | Issue:1 Page(s): 12-23

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Title

Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm

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Keywords

Prediction of diabetes

Genetic algorithm

Nearest neighbor algorithm

Data mining

Abstract

Introduction: Diabetes or diabetes mellitus is a metabolic disorder in body when the body does not produce insulin, and produced insulin cannot function normally. The presence of various signs and symptoms of this disease makes it difficult for doctors to diagnose. Data mining allows analysis of patients’ clinical data for medical decision making. The aim of this study was to provide a model for increasing the accuracy of diabetes prediction. Method: In this study, the medical records of 1151 patients with diabetes were studied, with 19 features. Patients’ information were collected from the UCI standard database. Each patient has been followed for at least one year. Genetic algorithm (GA) and the Nearest neighbor algorithm were used to provide diabetes prediction model. Results: It was revealed that the prediction accuracy of the proposed model equals 0. 76. Also, for the methods of Naï ve Bayes, Multi-layer perceptron (MLP) neural network, and support vector machine (SVM), the prediction accuracy was 0. 62, 0. 65, and 0. 75, respectively. Conclusion: In predicting diabetes, the proposed model has the lowest error rate and the highest accuracy compared to the other models. Naï ve Bayes method has the highest error rate and the lowest accuracy.

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APA: Copy

MOMENY, MOHAMMAD, LATIF, Ali Mohammad, AGHA SARRAM, MEHDI, Hajmirzazade, Kazem, Gharravi, Sorayya, & NaghiboAlghara, Seyed Mahammad. (2019). Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, 6(1 ), 12-23. SID. https://sid.ir/paper/956839/en

Vancouver: Copy

MOMENY MOHAMMAD, LATIF Ali Mohammad, AGHA SARRAM MEHDI, Hajmirzazade Kazem, Gharravi Sorayya, NaghiboAlghara Seyed Mahammad. Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm. JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS[Internet]. 2019;6(1 ):12-23. Available from: https://sid.ir/paper/956839/en

IEEE: Copy

MOHAMMAD MOMENY, Ali Mohammad LATIF, MEHDI AGHA SARRAM, Kazem Hajmirzazade, Sorayya Gharravi, and Seyed Mahammad NaghiboAlghara, “Diabetes Prediction by Optimizing the Nearest Neighbor Algorithm Using Genetic Algorithm,” JOURNAL OF HEALTH AND BIOMEDICAL INFORMATICS, vol. 6, no. 1 , pp. 12–23, 2019, [Online]. Available: https://sid.ir/paper/956839/en

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