標題: Design Ensemble Machine Learning Model for Breast Cancer Diagnosis
作者: Hsieh, Sheau-Ling
Hsieh, Sung-Huai
Cheng, Po-Hsun
Chen, Chi-Huang
Hsu, Kai-Ping
Lee, I-Shun
Wang, Zhenyu
Lai, Feipei
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關鍵字: Ensemble learning;Neural fuzzy;KNN;Quadratic classifier;Information gain
公開日期: 1-Oct-2012
摘要: In this paper, we classify the breast cancer of medical diagnostic data. Information gain has been adapted for feature selections. Neural fuzzy (NF), k-nearest neighbor (KNN), quadratic classifier (QC), each single model scheme as well as their associated, ensemble ones have been developed for classifications. In addition, a combined ensemble model with these three schemes has been constructed for further validations. The experimental results indicate that the ensemble learning performs better than individual single ones. Moreover, the combined ensemble model illustrates the highest accuracy of classifications for the breast cancer among all models.
URI: http://dx.doi.org/10.1007/s10916-011-9762-6
http://hdl.handle.net/11536/16831
ISSN: 0148-5598
DOI: 10.1007/s10916-011-9762-6
期刊: JOURNAL OF MEDICAL SYSTEMS
Volume: 36
Issue: 5
起始頁: 2841
結束頁: 2847
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