On Kullback-leibler Divergence as a Measure for Medical Diagnostics and Cut-point Selection Criterion

Presenters/Authors

Hani Samawi, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Jingjing Yin, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Xinyan Zhang, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Lili Yu, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Haresh Rochani, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Robert L. Vogel, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow

Document Type

Presentation

Presentation Date

3-2019

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

Sponsorship/Conference/Institution

Eastern North American Region International Biometric Society Conference

Location

Atlanta, GA

Recommended Citation

Samawi, Hani, Jingjing Yin, Xinyan Zhang, Lili Yu, Haresh Rochani, Robert L. Vogel. 2019. "On Kullback-leibler Divergence as a Measure for Medical Diagnostics and Cut-point Selection Criterion." Department of Biostatistics, Epidemiology, and Environmental Health Sciences Faculty Presentations. Presentation 95.
https://digitalcommons.georgiasouthern.edu/bee-facpres/95