Skip to main content
profile image
Selected Works of Hani M. Samawi
Presentation
On Kullback-leibler Divergence as a Measure for Medical Diagnostics and Cut-point Selection Criterion
Eastern North American Region International Biometric Society Conference
  • Hani Samawi, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Jingjing Yin, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Xinyan Zhang, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Lili Yu, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Haresh Rochani, Georgia Southern University, Jiann-Ping Hsu College of Public Health
  • Robert L. Vogel, Georgia Southern University, Jiann-Ping Hsu College of Public Health
Document Type
Presentation
Presentation Date
3-1-2019
Disciplines
Abstract or Description

Presented at ENAR Conference

Recently, Kullback-Leibler divergence measur (KL), which captures the disparity between two distributions, has been considered as an index for determining the diagnostic performance of markers. This study investigates variety of applications of KL divergence in medical diagnostics, including overall measures of rule-in and rule-out potential and proposes an optimization criteria based on KL divergence for cut point selection. Moreover, the paper links the KL divergence with some common Receiver Operating Characteristic (ROC) measures and presents analytically and numerically the relations in situations of one crossing point as well as multiple crossing points. Furthermore, the graphical application and interpretation of KL divergence, which is referred as the information graph, is discussed. A comprehensive data analysis of the Dutch Breast Cancer Data are provided to illustrate the proposed applications.

Additional Information

Link to abstract: https://www.enar.org/meetings/spring2019/program/ENAR_Abstracts.pdf

Location
Atlanta, GA
Citation Information
Hani Samawi, Jingjing Yin, Xinyan Zhang, Lili Yu, et al.. "On Kullback-leibler Divergence as a Measure for Medical Diagnostics and Cut-point Selection Criterion" Eastern North American Region International Biometric Society Conference (2019)
Available at: http://works.bepress.com/hani_samawi/320/