Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data

ÇELİK, Yunus; ASLAN, Muhammet Fatih; SABANCI, Kadir; Durdu, Akif

Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data

Muhammet Fatih ASLAN, (Karamanoğlu Mehmetbey Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Karaman, Türkiye)

Yunus ÇELİK, (Karamanoğlu Mehmetbey University, Faculty of Engineering, Department of Electrical and Electronics Karaman, Turkey)

Kadir SABANCI, (Karamanoğlu Mehmetbey Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Karaman, Türkiye)

Akif DURDU (Konya Teknik Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği, Konya, Türkiye)

International Journal of Intelligent Systems and Applications in Engineering

35 1

Yıl: 2018 Cilt: 6 Sayı: 4 Sayfa Aralığı: 289 - 293 Metin Dili: İngilizce İndeks Tarihi: 24-09-2019

Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data

Öz:

Today, one of the most common types of cancer is breast cancer. It is crucial to prevent the propagation of malign cells to reducethe rate of cancer induced mortality. Cancer detection must be done as early as possible for this purpose. Machine Learning techniques areused to diagnose or predict the success of treatment in medicine. In this study, four different machine learning algorithms were used toearly detection of breast cancer. The aim of this study is to process the results of routine blood analysis with different ML methods and tounderstand how effective these methods are for detection. Methods used can be listed as Artificial Neural Network (ANN), standardExtreme Learning Machine (ELM), Support Vector Machine (SVM) and K-Nearest Neighbor (k-NN). Dataset used were taken from UCIlibrary. In this dataset age, body mass index (BMI), glucose, insulin, homeostasis model assessment (HOMA), leptin, adiponectin, resistinand chemokine monocyte chemoattractant protein 1 (MCP1) attributes were used. Parameters that have the best accuracy values werefound by using four different Machine Learning techniques. For this purpose, hyperparameter optimization method was used. In the end,the results were compared and discussed.

Anahtar Kelime:

Konular: Bilgisayar Bilimleri, Yapay Zeka

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	ASLAN M, ÇELİK Y, SABANCI K, Durdu A (2018). Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. , 289 - 293.
Chicago	ASLAN Muhammet Fatih,ÇELİK Yunus,SABANCI Kadir,Durdu Akif Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. (2018): 289 - 293.
MLA	ASLAN Muhammet Fatih,ÇELİK Yunus,SABANCI Kadir,Durdu Akif Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. , 2018, ss.289 - 293.
AMA	ASLAN M,ÇELİK Y,SABANCI K,Durdu A Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. . 2018; 289 - 293.
Vancouver	ASLAN M,ÇELİK Y,SABANCI K,Durdu A Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. . 2018; 289 - 293.
IEEE	ASLAN M,ÇELİK Y,SABANCI K,Durdu A "Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data." , ss.289 - 293, 2018.
ISNAD	ASLAN, Muhammet Fatih vd. "Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data". (2018), 289-293.

APA	ASLAN M, ÇELİK Y, SABANCI K, Durdu A (2018). Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. International Journal of Intelligent Systems and Applications in Engineering, 6(4), 289 - 293.
Chicago	ASLAN Muhammet Fatih,ÇELİK Yunus,SABANCI Kadir,Durdu Akif Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. International Journal of Intelligent Systems and Applications in Engineering 6, no.4 (2018): 289 - 293.
MLA	ASLAN Muhammet Fatih,ÇELİK Yunus,SABANCI Kadir,Durdu Akif Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. International Journal of Intelligent Systems and Applications in Engineering, vol.6, no.4, 2018, ss.289 - 293.
AMA	ASLAN M,ÇELİK Y,SABANCI K,Durdu A Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. International Journal of Intelligent Systems and Applications in Engineering. 2018; 6(4): 289 - 293.
Vancouver	ASLAN M,ÇELİK Y,SABANCI K,Durdu A Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data. International Journal of Intelligent Systems and Applications in Engineering. 2018; 6(4): 289 - 293.
IEEE	ASLAN M,ÇELİK Y,SABANCI K,Durdu A "Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data." International Journal of Intelligent Systems and Applications in Engineering, 6, ss.289 - 293, 2018.
ISNAD	ASLAN, Muhammet Fatih vd. "Breast Cancer Diagnosis by Different Machine Learning Methods Using Blood Analysis Data". International Journal of Intelligent Systems and Applications in Engineering 6/4 (2018), 289-293.