Conference proceeding
Group Testing in the Development of an Expanded Cancer Staging System
Seventh International Conference on Machine Learning and Applications, Proceedings, pp 589-594
01 Jan 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Though the TNM (Tumor Lymph Node, Metastasis) is a widely used staging system for predicting the outcome Of cancer patients, it is limited in prediction mainly because it does not integrate multiple prognostic factors. Expanding the TNM now becomes possible due to availability of large cancer patient datasets. In this paper we introduce a group testing algorithm that can be used to add new prognostic factors while preserving the TNM staging system. Our approach starts with survival and evaluates its relation to potential prognostic factors individually and in various combinations. A demonstration is given for lung cancer
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Details
- Title
- Group Testing in the Development of an Expanded Cancer Staging System
- Creators
- Dechang Chen - Uniformed Services University of the Health SciencesKai Xing - George Washington UniversityDonald Henson - George Washington UniversityLi Sheng - Drexel University
- Publication Details
- Seventh International Conference on Machine Learning and Applications, Proceedings, pp 589-594
- Conference
- 2008 Seventh International Conference on Machine Learning and Applications, 7th (San Diego, California, United States, 11 Dec 2008–13 Dec 2008)
- Publisher
- IEEE
- Number of pages
- 2
- Grant note
- CCF-0729080 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Mathematics
- Web of Science ID
- WOS:000263205800087
- Scopus ID
- 2-s2.0-60649084588
- Other Identifier
- 991019168542104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Engineering, Electrical & Electronic