Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone

Receiver Operating Characteristic (ROC) Curves are frequently used in biomedical informatics research to evaluate classification and prediction models to support decision, diagnosis, and prognosis. ROC analysis investigates the accuracy of models and has ability to separate positive from negat...

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Main Authors:	Tazhibi Mehdi, N, Bashardoost, M, Ahmadi
Format:	Article
Language:	English
Published:	Universiti Kebangsaan Malaysia 2011
Online Access:	http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/1/special%2520issue%25202011_33.pdf

id	ukm-3560
recordtype	eprints
spelling	ukm-35602016-12-14T06:34:48Z http://journalarticle.ukm.my/3560/ Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone Tazhibi Mehdi, N, Bashardoost M, Ahmadi Receiver Operating Characteristic (ROC) Curves are frequently used in biomedical informatics research to evaluate classification and prediction models to support decision, diagnosis, and prognosis. ROC analysis investigates the accuracy of models and has ability to separate positive from negative cases. It is especially useful in evaluating predictive models and compare to other tests which produce output values in a continuous range. Empirical ROC curve is jagged but a true ROC curve is smooth. For this purpose kernel smoothing were used. The Area Under ROC Curve (AUC) frequently is used as a measure of the effectiveness of diagnostic markers. In this study we compare estimation of this area based on normal assumptions and kernel smoothing. This study used measurements of TSH from patients and non-diseased people of congenital hypothyroidism screening in Isfahan province. Using the method, TSH ROC curves from Isfahani's infants were fitted. For evaluating of accuracy of this test, AUC and its standard error calculated. Also effectiveness of the kernel methods in comparison to other methods showed. Universiti Kebangsaan Malaysia 2011 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/3560/1/special%2520issue%25202011_33.pdf Tazhibi Mehdi, and N, Bashardoost and M, Ahmadi (2011) Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone. International Journal of Public Health Research, Specia . pp. 239-242. ISSN 2232-0245 http://www.ijphr.ukm.my/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	Receiver Operating Characteristic (ROC) Curves are frequently used in biomedical informatics research to evaluate classification and prediction models to support decision, diagnosis, and prognosis. ROC analysis investigates the accuracy of models and has ability to separate positive from negative cases. It is especially useful in evaluating predictive models and compare to other tests which produce output values in a continuous range. Empirical ROC curve is jagged but a true ROC curve is smooth. For this purpose kernel smoothing were used. The Area Under ROC Curve (AUC) frequently is used as a measure of the effectiveness of diagnostic markers. In this study we compare estimation of this area based on normal assumptions and kernel smoothing. This study used measurements of TSH from patients and non-diseased people of congenital hypothyroidism screening in Isfahan province. Using the method, TSH ROC curves from Isfahani's infants were fitted. For evaluating of accuracy of this test, AUC and its standard error calculated. Also effectiveness of the kernel methods in comparison to other methods showed.
format	Article
author	Tazhibi Mehdi, N, Bashardoost M, Ahmadi
spellingShingle	Tazhibi Mehdi, N, Bashardoost M, Ahmadi Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone
author_facet	Tazhibi Mehdi, N, Bashardoost M, Ahmadi
author_sort	Tazhibi Mehdi,
title	Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone
title_short	Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone
title_full	Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone
title_fullStr	Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone
title_full_unstemmed	Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone
title_sort	kernel smoothing for roc curve and estimation for thyroid stimulating hormone
publisher	Universiti Kebangsaan Malaysia
publishDate	2011
url	http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/1/special%2520issue%25202011_33.pdf
first_indexed	2023-09-18T19:39:09Z
last_indexed	2023-09-18T19:39:09Z
_version_	1777405472836419584

Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone

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