Loading...
Please wait, while we are loading the content...
Similar Documents
Diagnosing Breast Cancer Based on Support Vector Machines
| Content Provider | Semantic Scholar |
|---|---|
| Author | Liu, Huanxiang Zhang, Ruisheng Luan, Feng Yao, Xiaojun Liu, Mancang Hu, Zhide Fan, Bo Tao |
| Copyright Year | 2003 |
| Abstract | 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. |
| Starting Page | 943 |
| Ending Page | 950 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://cbio.ensmp.fr/~jvert/svn/bibli/local/Liu2003Diagnosing.pdf |
| Alternate Webpage(s) | https://www.wikidata.org/entity/Q45967012 |
| Alternate Webpage(s) | http://members.cbio.mines-paristech.fr/~jvert/svn/bibli/local/Liu2003Diagnosing.pdf |
| PubMed reference number | 12767148v1 |
| Alternate Webpage(s) | https://doi.org/10.1021/ci0256438 |
| DOI | 10.1021/ci0256438 |
| Journal | Journal of Chemical Information and Computer Sciences |
| Volume Number | 43 |
| Issue Number | 3 |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Artificial neural network Breast Carcinoma K-means clustering Malignant neoplasm of breast Mammary Neoplasms Support Vector Machine algorithm |
| Content Type | Text |
| Resource Type | Article |
