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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Kebangsaan Malaysia
2011
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| Online Access: | http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/1/special%2520issue%25202011_33.pdf |
| _version_ | 1848810231497228288 |
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| author | Tazhibi Mehdi, N, Bashardoost M, Ahmadi |
| author_facet | Tazhibi Mehdi, N, Bashardoost M, Ahmadi |
| author_sort | Tazhibi Mehdi, |
| building | UKM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T23:27:13Z |
| format | Article |
| id | oai:generic.eprints.org:3560 |
| institution | Universiti Kebangasaan Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T23:27:13Z |
| publishDate | 2011 |
| publisher | Universiti Kebangsaan Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:generic.eprints.org: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/ |
| spellingShingle | Tazhibi Mehdi, N, Bashardoost M, Ahmadi Kernel smoothing for ROC curve and estimation for thyroid stimulating hormone |
| title | 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_short | Kernel smoothing for ROC curve and estimation for thyroid
stimulating hormone |
| title_sort | kernel smoothing for roc curve and estimation for thyroid
stimulating hormone |
| url | http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/ http://journalarticle.ukm.my/3560/1/special%2520issue%25202011_33.pdf |