Diagnosing breast cancer based on support vector machines

被引：109

作者：

Liu, HX

Zhang, RS ^{[1
]}

Luan, F

Yao, XJ

Liu, MC

Hu, ZD

Fan, BT

机构：

[1] Lanzhou Univ, Dept Chem, Lanzhou 730000, Peoples R China

[2] Lanzhou Univ, Dept Comp Sci, Lanzhou 730000, Peoples R China

[3] Univ Paris 07, ITODYS 1, F-75005 Paris, France

来源：

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 2003年 / 43卷 / 03期

关键词：

D O I：

10.1021/ci0256438

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The Support Vector Machine (SVM) classification algorithm, recently developed from the machine learning community, was used to diagnose breast cancer. At the same time, the SVM was compared to several machine learning techniques currently used in this field. The classification task involves predicting the state of diseases, using data obtained from the UCI machine learning repository. SVM outperformed k-means cluster and two artificial neural networks on the whole. It can be concluded that nine samples could be mislabeled from the comparison of several machine learning techniques.

引用

页码：900 / 907

页数：8

共 50 条

[1] Breast cancer detection based on fuzzy support vector machines
Bai, Xingli
Qian, Xu
Yu, Wenqi
2008 PROCEEDINGS OF INFORMATION TECHNOLOGY AND ENVIRONMENTAL SYSTEM SCIENCES: ITESS 2008, VOL 4, 2008, : 134 - 137
[2] Breast cancer diagnosis via support vector machines
Wang Yi
Wan Fuyong
2006 CHINESE CONTROL CONFERENCE, VOLS 1-5, 2006, : 956 - +
[3] Feature selection and classification of breast cancer diagnosis based on support vector machines
Purnami, Santi Wulan
Rahayu, S. P.
Embong, Abdullah
INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE, 2008, : 500 - 505
[4] Applying Support Vector Machines with Different Kernel to Breast Cancer Diagnosis
Ahmed-Medjahed, Seyyid
Boukhatem, Fatima
COMPUTACION Y SISTEMAS, 2024, 28 (02): : 659 - 667
[5] Investigating the Prediction of Breast Cancer Diagnosis by Use of Support Vector Machines
Maanav, A.
Mithun, K.
Naparajith, T. L.
Suraj, K. Maarvin Abiram
Bose, Regin
Brearley, Belwin J.
INTERNATIONAL JOURNAL OF HEALTHCARE INFORMATION SYSTEMS AND INFORMATICS, 2023, 18 (01)
[6] Breast Cancer Classification by Using Support Vector Machines with Reduced Dimension
Mert, Ahmet
Kilic, Niyazi
Akan, Aydin
53RD INTERNATIONAL SYMPOSIUM ELMAR-2011, 2011, : 37 - 40
[7] Support vector machines combined with feature selection for breast cancer diagnosis
Akay, Mehmet Fatih
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (02) : 3240 - 3247
[8] Diagnosing Breast Cancer using Support Vector Machine and Multi-Classifiers
Sultana, Jabeen
Sadaf, Kishwar
Jilani, Abdul Khader
Alabdan, Rana
PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019), 2019, : 456 - 458
[9] In-situ hybridization of microRNA and support vector machines-based prognostic classifiers for breast cancer
Cao, Z.
Yao, L.
Hu, X.
Zhang, Z.
Shao, Z.
CANCER RESEARCH, 2017, 77
[10] Support vector machines in sonography - Application to decision making in the diagnosis of breast cancer
Huang, YL
Chen, DR
CLINICAL IMAGING, 2005, 29 (03) : 179 - 184

← 1 2 3 4 5 →