Cardiovascular Prevention and Pharmacotherapy

Special Articles

Methods for Evaluating the Accuracy of Diagnostic Tests: Chi-Yeon Lim; Cardiovasc Prev Pharmacother. 2021;3(1):15-20. Published online January 31, 2021; DOI: https://doi.org/10.36011/cpp.2021.3.e2

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The accuracy of a diagnostic test should be evaluated before it is used in clinical situations. The sensitivity, specificity, and the trade-off between the 2 need to be considered. Sensitivity and specificity in diagnostic tests depend on the selection of cut-off values, and appropriate cut-off values can be arrived at by analyzing the receiver operating characteristic curve. In actual clinical setting, it is often difficult to obtain an appropriate gold standard for diagnosis, and in this case, consent is required as well. In this article, we summarize the basic concepts and methods for evaluating the performance of diagnostic tests.

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Diagnostic Accuracy of Clinical Diagnostic Scoring Systems for Childhood Tuberculosis: A Systematic Review and Meta-analysis
Michael Kakinda, Ronald Olum, Joseph Baruch Baluku, Felix Bongomin
Open Forum Infectious Diseases.2024;[Epub] CrossRef

Logistic Regression and Least Absolute Shrinkage and Selection Operator: Hyunyong Lee, Hun-Sung Kim; Cardiovasc Prev Pharmacother. 2020;2(4):142-146. Published online October 31, 2020; DOI: https://doi.org/10.36011/cpp.2020.2.e15

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Logistic regression, a model that forms a binary dependent variable and one or more independent variable(s), is used especially in epidemiological studies. By understanding the logistic model and its applications, such as odds ratio (OR) and performance efficiency, the concept of logistic regression can be easily grasped. The purpose of this article is to 1) introduce logistic regression, including odds and OR, 2) present predictive efficiency, such as area under the curve, and 3) explain the caution of logistic regression analysis.

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Perceptron: Basic Principles of Deep Neural Networks
Eung-Hee Kim, Hun-Sung Kim
Cardiovascular Prevention and Pharmacotherapy.2021; 3(3): 64. CrossRef

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