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Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts

The appropriate plot effectively conveys the author's conclusions to the readers. The Journal of Korean Medical Science provides a series of special articles to show you how to make consistent and excellent plots easier. In the second article, drawing receiver operating characteristic (ROC) cur...

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Detalles Bibliográficos
Autores principales: Kim, Jeehyoung, Hwang, Il Chan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308134/
https://www.ncbi.nlm.nih.gov/pubmed/32567255
http://dx.doi.org/10.3346/jkms.2020.35.e171
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author Kim, Jeehyoung
Hwang, Il Chan
author_facet Kim, Jeehyoung
Hwang, Il Chan
author_sort Kim, Jeehyoung
collection PubMed
description The appropriate plot effectively conveys the author's conclusions to the readers. The Journal of Korean Medical Science provides a series of special articles to show you how to make consistent and excellent plots easier. In the second article, drawing receiver operating characteristic (ROC) curve is introduced. A ROC curve is a graphic plot that illustrates the diagnostic ability as its discrimination threshold is varied. It is widely used as logistic regression analysis as machine learning becomes widespread. It has great visual effect in comparing various diagnostic tools.
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spelling pubmed-73081342020-06-24 Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts Kim, Jeehyoung Hwang, Il Chan J Korean Med Sci Special Article The appropriate plot effectively conveys the author's conclusions to the readers. The Journal of Korean Medical Science provides a series of special articles to show you how to make consistent and excellent plots easier. In the second article, drawing receiver operating characteristic (ROC) curve is introduced. A ROC curve is a graphic plot that illustrates the diagnostic ability as its discrimination threshold is varied. It is widely used as logistic regression analysis as machine learning becomes widespread. It has great visual effect in comparing various diagnostic tools. The Korean Academy of Medical Sciences 2020-05-04 /pmc/articles/PMC7308134/ /pubmed/32567255 http://dx.doi.org/10.3346/jkms.2020.35.e171 Text en © 2020 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Special Article
Kim, Jeehyoung
Hwang, Il Chan
Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts
title Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts
title_full Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts
title_fullStr Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts
title_full_unstemmed Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts
title_short Drawing Guidelines for Receiver Operating Characteristic Curve in Preparation of Manuscripts
title_sort drawing guidelines for receiver operating characteristic curve in preparation of manuscripts
topic Special Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308134/
https://www.ncbi.nlm.nih.gov/pubmed/32567255
http://dx.doi.org/10.3346/jkms.2020.35.e171
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