Medical decision making tools : Bayesian analysis and ROC analysis.
- Author:
Byung Do LEE
1
Author Information
1. Department of Oral and Maxillofacial Radiology, School of Dentistry, Wonkwang University. eebydo@wonkwang.ac.kr
- Publication Type:Review
- Keywords:
Diagnosis;
Sensitivity;
Specificity
- MeSH:
Bayes Theorem*;
Decision Making*;
Diagnosis;
Diagnostic Tests, Routine;
ROC Curve*;
Sensitivity and Specificity
- From:Korean Journal of Oral and Maxillofacial Radiology
2006;36(1):1-5
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
During the diagnostic process of the various oral and maxillofacial lesions, we should consider the following: "When should we order diagnostic tests? What tests should be ordered? How should we interpret the results clinically? And how should we use this frequently imperfect information to make optimal medical decisions?" For the clinicians to make proper judgement, several decision making tools are suggested. This article discusses the concept of the diagnostic accuracy (sensitivity and specificity values) with several decision making tools such as decision matrix, ROC analysis and Bayesian analysis. The article also explain the introductory concept of ORAD program.
