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Partial AUC using the sensitivity and specicity lines
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민감도와 특이도 직선을 이용한 부분 AUC

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Type
Academic journal
Author
Chong Sun Hong (성균관대학교) Dong Hwan Jang (성균관대학교)
Journal
한국통계학회 응용통계연구 Vol.33 No.5 KCI Accredited Journals
Published
2020.10
Pages
541 - 553 (13page)

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Partial AUC using the sensitivity and specicity lines
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The receiver operating characteristic (ROC) curve is expressed as both sensitivity and specificity; in addition, some optimal thresholds using the ROC curve are also represented with both sensitivity and specificity. In addition to the sensitivity and specificity, the expected usefulness function is considered as disease prevalence and usefulness. In particular, partial the area under the ROC curve (AUC) on a certain range should be compared when the AUCs of the crossing ROC curves have similar values. In this study, partial AUCs representing high sensitivity and specificity are proposed by using sensitivity and specificity lines, respectively. Assume various distribution functions with ROC curves that are crossing and AUCs that have the same value. We propose a method to improve the discriminant power of the classification models while comparing the partial AUCs obtained using sensitivity and specificity lines.
#AUC #sensitivity #specificity #threshold #utility #민감도 #분류점 #특이도 #효용

Contents

Abstract
1. Introduction
2. Specificity line and sensitivity line
3. Specificity line and pAUC
4. Sensitivity line and pAUC
5. Illustrative example
6. Conclusion
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