2016•International Journal of Medical Science and Public HealthRequires access

Evaluation and application of diagnostic accuracy in clinical decision-making

Prabhakar Mishra, Chandra Mohan Pandey, Uttam Singh, Sachin Yadav, Vishal Santosh Sharma

Open publisher page 2 citations

Abstract

A diagnostic test is any kind of medical test performed to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease. Measures of diagnostic accuracy tell us about the ability of a test to discriminate between disease and health. There are many measures used to show the accuracy of the diagnostic test including sensitivity, specificity, etc. We calculate these measures in 2×2 table, comparing with gold standard and it is possible only when result of the gold standard as well as new test is dichotomous nature. Many diagnostic test results have continuous scale and for such variable a series of cutoff points for disease and corresponding measures of accuracy can be calculated using receiver operating characteristics curve. In this article, we have discussed the various measures of diagnostic accuracy and their computational methods commonly used to assess the performance of a diagnostic test.

About this research paper

What this paper is about

A diagnostic test is any kind of medical test performed to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease. Measures of diagnostic accuracy tell us about the ability of a test to discriminate between disease and health. There are many measures used to show the accuracy of the diagnostic test including sensitivity, specificity, etc. We calculate these measures in 2×2 table, comparing with gold standard and it is possible only when result of the gold standard as well as new test is dichotomous nature. Many diagnostic test results have continuous scale and for such variable a series of cutoff points for disease and corresponding measures of accuracy can be calculated using receiver operating characteristics curve. In this article, we have discussed the various measures of diagnostic accuracy and their computational methods commonly used to assess the performance of a diagnostic test.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A diagnostic test is any kind of medical test performed to determine the presence or absence of a disease when a subject shows signs or symptoms of the disease. Measures of diagnostic accuracy tell us about the ability of a test to discriminate between disease and health. There are many measures used to show the accuracy of the diagnostic test including sensitivity, specificity, etc. We calculate these measures in 2×2 table, comparing with gold standard and it is possible only when result of the gold standard as well as new test is dichotomous nature. Many diagnostic test results have continuous scale and for such variable a series of cutoff points for disease and corresponding measures of accuracy can be calculated using receiver operating characteristics curve. In this article, we have discussed the various measures of diagnostic accuracy and their computational methods commonly used to assess the performance of a diagnostic test.

Key concepts: Medicine, Clinical decision making, Medical physics, Intensive care medicine

Related papers

Back to paper searchBrowse research topicsOriginal source
Evaluation and application of diagnostic accuracy in clinical decision-making — Research Paper | ScholarLens