Date of Award
6-12-2006
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Dr. Yu-Sheng Hsu - Chair
Second Advisor
Dr. Yichuan Zhao
Third Advisor
Gengsheng (Jeff) Qin
Abstract
Cervical Cancer is the second most common type of cancer in women worldwide (500,000 cases/year) and one of the leading causes of cancer-related mortality in women in developing countries (230,000 cases/year). The Spectrx LightTouch™ device uses light to detect chemical and structural changes in cervical tissue. Light responds differently when exposed to normal cells and cancerous cells. The purpose of this research is to find the best model that can be used to diagnose the early cervical cancerous conditions. To achieve this goal, we first tried to reduce the number of variables. We use statistical and non-statistical methods to search for useful explanatory variables. Partial Least Square, Logistic Regression, CART, MARS, SVM have been used to build models. Bootstrap was adopted to estimate the threshold of PLS model. Comparison of the results indicates that PLS produces relatively better model in terms of the performances and to control over model threshold.
DOI
https://doi.org/10.57709/1059665
Recommended Citation
Shen, C, "Some Significant Results in the Classification Analysis of the Spectroscopic Evaluation of Cervical Cancer." Thesis, Georgia State University, 2006.
doi: https://doi.org/10.57709/1059665