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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Polpinij, J. |
| Copyright Year | 2011 |
| Description | Author affiliation: Faculty of Informatics, Mahasarakham University, Mahasarakham 44150 Thailand (Polpinij, J.) |
| Abstract | This work proposes a new ontology, called the Cancerology, where it faces a problem of unclear analysis in a biomedical text processing because existing ontologies such National Cancer Institute's Thesaurus and Ontology do not offer some information relating to domain specific variations in terms that can be provided by the domain expert. This ontology is experimented through a method of text classification with retrieving the relevant cervix cancer abstracts relating to clinical trials from PubMed. The experimental results show more effectiveness for increasing the accuracy. This demonstrates that the Cancerology may be also effective for other areas of text processing and analysis, especially in the particular domain of oncology literature such as intelligent search service, text mining, and knowledge extraction. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 132678 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457711893 |
| ISSN | 10637125 |
| e-ISBN | 9781457711909 |
| DOI | 10.1109/CBMS.2011.5999168 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Ontologies Cancer Drugs Text processing Text categorization Oncology Surgery |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Computer Science Applications |
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