Application of Breast Cancer Diagnosis Using Sequential Minimal Optimization Algorithm

Jurnal Teknologi dan Sistem Komputer

Agung Wibowo¹ 

[1] Program Studi Teknik Informatika, STMIK Nusa Mandiri Sukabumi, Indonesia;

关键词: diagnosis kanker payudara;    algoritma diagnosis kanker;    weka;    akurasi smo;   

DOI  :  10.14710/jtsiskom.5.4.2017.153-158

来源: DOAJ

【 摘 要 】

Various methods for the diagnosis of breast cancer exist, but not many have been implemented as an application. This study aims to develop an application using SMO algorithm assisted by Weka to diagnose breast cancer. The application was web-based application and developed using Javascript. Test dataset and model formation used original Breast Cancer Database (WBCD) data without missing value. Test mode used 10-fold cross-validation. This application can diagnose breast cancer with an accuracy of 97.3645% and has a significant increase in accuracy for the diagnosis of malignant cancer.

【 授权许可】

Unknown