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Sparse Logistic Regression for Diagnosis of Liver Fibrosis in Rat by Using SCAD-Penalized Likelihood
Joint Authors
Yan, Fang-Rong
Liu, Yu
Lin, Jin-Guan
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-06-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The objective of the present study is to find out the quantitative relationship between progression of liver fibrosis and the levels of certain serum markers using mathematic model.
We provide the sparse logistic regression by using smoothly clipped absolute deviation (SCAD) penalized function to diagnose the liver fibrosis in rats.
Not only does it give a sparse solution with high accuracy, it also provides the users with the precise probabilities of classification with the class information.
In the simulative case and the experiment case, the proposed method is comparable to the stepwise linear discriminant analysis (SLDA) and the sparse logistic regression with least absolute shrinkage and selection operator (LASSO) penalty, by using receiver operating characteristic (ROC) with bayesian bootstrap estimating area under the curve (AUC) diagnostic sensitivity for selected variable.
Results show that the new approach provides a good correlation between the serum marker levels and the liver fibrosis induced by thioacetamide (TAA) in rats.
Meanwhile, this approach might also be used in predicting the development of liver cirrhosis.
American Psychological Association (APA)
Yan, Fang-Rong& Lin, Jin-Guan& Liu, Yu. 2011. Sparse Logistic Regression for Diagnosis of Liver Fibrosis in Rat by Using SCAD-Penalized Likelihood. BioMed Research International،Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-990363
Modern Language Association (MLA)
Yan, Fang-Rong…[et al.]. Sparse Logistic Regression for Diagnosis of Liver Fibrosis in Rat by Using SCAD-Penalized Likelihood. BioMed Research International No. 2011 (2011), pp.1-8.
https://search.emarefa.net/detail/BIM-990363
American Medical Association (AMA)
Yan, Fang-Rong& Lin, Jin-Guan& Liu, Yu. Sparse Logistic Regression for Diagnosis of Liver Fibrosis in Rat by Using SCAD-Penalized Likelihood. BioMed Research International. 2011. Vol. 2011, no. 2011, pp.1-8.
https://search.emarefa.net/detail/BIM-990363
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-990363