Abstract
The primary purpose of this project is to build a comprehensive Gird-based medical tracking system to improve the health of Taiwan's lung cancer patients. The system incorporates a predictive cancer analysis system that assists physicians in diagnosing the early stages of lung cancer. There are various parts to the Lung Cancer Grid project. First, First the system networks the lung cancer patient's healthcare physicians, thus, allowing them to quickly and easily share the patient's medical records and information. Next, the second part of the system is the re-staging function that addresses the patient's current prognosis based on new clinical data received. Currently the parts to the Lung Cancer Grid project operate independent of each other. In the near future, they will be integrated into the single platform. Once the patient leaves the healthcare facility, his progress can be tracked and analyzed by his physicians using the platform. The patient also has limited access to the system and can view details of his progress. The software is also able to analyze the patients' reactions to medication. It can predict the survival rate of lung cancer patients both individually and in general terms as well. In addition, the system incorporates a 3D imaging system that greatly aids physicians in the early diagnosis of lung cancer.
Original language | English |
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Title of host publication | Proceedings of the 2008 International Conference on Semantic Web and Web Services, SWWS 2008 |
Pages | 153-154 |
Number of pages | 2 |
Publication status | Published - 2008 |
Externally published | Yes |
Event | 2008 International Conference on Semantic Web and Web Services, SWWS 2008 - Las Vegas, NV, United States Duration: Jul 14 2008 → Jul 17 2008 |
Other
Other | 2008 International Conference on Semantic Web and Web Services, SWWS 2008 |
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Country/Territory | United States |
City | Las Vegas, NV |
Period | 7/14/08 → 7/17/08 |
ASJC Scopus subject areas
- Computational Theory and Mathematics
- Computer Science Applications
- Software