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Data Mining and Analysis of Lung Cancer

Data Mining and Analysis of Lung Cancer

Guoxin Tang
Copyright: © 2010 |Pages: 27
ISBN13: 9781615207237|ISBN10: 1615207236|ISBN13 Softcover: 9781616922535|EISBN13: 9781615207244
DOI: 10.4018/978-1-61520-723-7.ch006
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MLA

Tang, Guoxin. "Data Mining and Analysis of Lung Cancer." Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks, edited by Patricia Cerrito, IGI Global, 2010, pp. 118-144. https://doi.org/10.4018/978-1-61520-723-7.ch006

APA

Tang, G. (2010). Data Mining and Analysis of Lung Cancer. In P. Cerrito (Ed.), Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks (pp. 118-144). IGI Global. https://doi.org/10.4018/978-1-61520-723-7.ch006

Chicago

Tang, Guoxin. "Data Mining and Analysis of Lung Cancer." In Cases on Health Outcomes and Clinical Data Mining: Studies and Frameworks, edited by Patricia Cerrito, 118-144. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-723-7.ch006

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Abstract

Lung cancer is the leading cause of cancer death in the United States and the world, with more than 1.3 million deaths worldwide per year. However, because of a lack of effective tools to diagnose lung cancer, more than half of all cases are diagnosed at an advanced stage, when surgical resection is unlikely to be feasible. The purpose of this study is to examine the relationship between patient outcomes and conditions of the patients undergoing different treatments for lung cancer and to develop models to estimate the population burden, the cost of cancer, and to help physicians and patients determine appropriate treatment in clinical decision-making. We use a national database, and also claim data to investigate treatments for lung cancer.

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