Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/118450
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dc.contributor.author | Guo, S. | - |
dc.contributor.author | Lucas, R.M. | - |
dc.contributor.author | Ponsonby, A.L. | - |
dc.contributor.author | Chapman, C. | - |
dc.contributor.author | Coulthard, A. | - |
dc.contributor.author | Dear, K. | - |
dc.contributor.author | Dwyer, T. | - |
dc.contributor.author | Kilpatrick, T. | - |
dc.contributor.author | McMichael, T. | - |
dc.contributor.author | Pender, M.P. | - |
dc.contributor.author | Taylor, B. | - |
dc.contributor.author | Valery, P. | - |
dc.contributor.author | Van Der Mei, I. | - |
dc.contributor.author | Williams, D. | - |
dc.contributor.editor | de Brevern, A.G. | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | PLoS One, 2013; 8(11):e79970-1-e79970-9 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | http://hdl.handle.net/2440/118450 | - |
dc.description.abstract | Background: Epidemiological evidence suggests that vitamin D deficiency is linked to various chronic diseases. However direct measurement of serum 25-hydroxyvitamin D (25(OH)D) concentration, the accepted biomarker of vitamin D status, may not be feasible in large epidemiological studies. An alternative approach is to estimate vitamin D status using a predictive model based on parameters derived from questionnaire data. In previous studies, models developed using Multiple Linear Regression (MLR) have explained a limited proportion of the variance and predicted values have correlated only modestly with measured values. Here, a new modelling approach, nonlinear radial basis function support vector regression (RBF SVR), was used in prediction of serum 25(OH)D concentration. Predicted scores were compared with those from a MLR model. Methods: Determinants of serum 25(OH)D in Caucasian adults (n = 494) that had been previously identified were modelled using MLR and RBF SVR to develop a 25(OH)D prediction score and then validated in an independent dataset. The correlation between actual and predicted serum 25(OH)D concentrations was analysed with a Pearson correlation coefficient. Results: Better correlation was observed between predicted scores and measured 25(OH)D concentrations using the RBF SVR model in comparison with MLR (Pearson correlation coefficient: 0.74 for RBF SVR; 0.51 for MLR). The RBF SVR model was more accurately able to identify individuals with lower 25(OH)D levels (<75 nmol/L). Conclusion: Using identical determinants, the RBF SVR model provided improved prediction of serum 25(OH)D concentrations and vitamin D deficiency compared with a MLR model, in this dataset. | - |
dc.description.statementofresponsibility | Shuyu Guo, Robyn M. Lucas, Anne-Louise Ponsonby, the Ausimmune Investigator Group | - |
dc.language.iso | en | - |
dc.publisher | Public Library Science | - |
dc.rights | © 2013 Guo et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | - |
dc.source.uri | http://dx.doi.org/10.1371/journal.pone.0079970 | - |
dc.subject | Ausimmune Investigator Group | - |
dc.subject | Humans | - |
dc.subject | Vitamin D Deficiency | - |
dc.subject | Vitamin D | - |
dc.subject | Linear Models | - |
dc.subject | ROC Curve | - |
dc.subject | Algorithms | - |
dc.subject | Support Vector Machine | - |
dc.title | A novel approach for prediction of vitamin D status using support vector regression | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1371/journal.pone.0079970 | - |
dc.relation.grant | NHMRC | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Dear, K. [0000-0002-0788-7404] | - |
Appears in Collections: | Aurora harvest 8 Public Health publications |
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hdl_118450.pdf | Published version | 1.15 MB | Adobe PDF | View/Open |
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