Date of Award
8-3-2008
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Mathematics and Statistics
First Advisor
Yu-sheng Hsu - Chair
Second Advisor
Mark Faupel
Third Advisor
Xu Zhang
Abstract
To significantly improve the early detection of cervical precancers and cancers, LightTouch™ is under development by SpectRx Inc.. LightTouch™ identifies cancers and precancers quickly by using a spectrometer to analyze light reflected from the cervix. Data from the spectrometer is then used to create an image of the cervix that highlights the location and severity of disease. Our research is conducted to find the appropriate models that can be used to generate map-like image showing disease tissue from normal and further diagnose the cervical cancerous conditions. Through large work of explanatory variable search and reduction, logistic regression and Partial Least Square Regression successfully applied to our modeling process. These models were validated by 60/40 cross validation and 10 folder cross validation. Further examination of model performance, such as AUC, sensitivity and specificity, threshold had been conducted.
DOI
https://doi.org/10.57709/1059714
Recommended Citation
Wang, Hailun, "Some Conclusions of Statistical Analysis of the Spectropscopic Evaluation of Cervical Cancer." Thesis, Georgia State University, 2008.
doi: https://doi.org/10.57709/1059714