Volume 11, Issue 3 (10-2015)
J Health Syst Res 2015, 11(3): 445-458 |
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Mansorian M, Marateb H R. Performance assessment of computer-aided diagnosis systems: A review of methodologies. J Health Syst Res 2015; 11 (3) :445-458
URL: http://hsr.mui.ac.ir/article-1-805-en.html
URL: http://hsr.mui.ac.ir/article-1-805-en.html
1- Medical Physics, Medical Sciences Schools, Tarbiat Modares University, Tehran, Iran
2- Assistant Professor, Biomedical Engineering Department, Faculty of Engineering, University of Isfahan, Iran
2- Assistant Professor, Biomedical Engineering Department, Faculty of Engineering, University of Isfahan, Iran
Abstract: (977 Views)
Background: Nowadays, computer-aided diagnosis systems are widely used in medicine. These systems could assist medical doctors in early correct diagnosis of diseases. The performance of such systems must be correctly assessed. In this paper, the performance criteria of these diagnosis systems are taken into account.Methods: The diagnosis error of such systems was estimated based on the gold standard data using measures such as Sensitivity, Specificity, Accuracy, Precision, Area Under curve ROC (receiver operating characteristic), F-measure, Matthews correlation coefficient , etc. The advantages and disadvantages of those criteria were also discussed. Then, the performance of two Coronary Artery Disease diagnosis systems was assessed. The statistically significant superior method was identified using the McNemar’s test.Findings: Since the analyzed dataset was balanced, the overall performance of the diagnosis methods was assessed using the accuracy measure. The accuracy of the methods was 84% and 86%, respectively. The entire systems were not reliable since Type I error (Alpha) was not less than 0.05. However, the second system had acceptable statistical power (>80%). The diagnosis performance of those systems was “very good” (0.8
Type of Study: Research |
Subject:
education health and promotion
Received: 2020/07/16 | Accepted: 2015/10/15 | Published: 2015/10/15
Received: 2020/07/16 | Accepted: 2015/10/15 | Published: 2015/10/15
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