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Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran
Joint Authors
Ayatollahi, Seyyed Mohammad Taghi
Pourahmad, Saeedeh
Raeisi Shahraki, Hadi
Source
Journal of Environmental and Public Health
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-25
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Despite the widespread use of liver transplantation as a routine therapy in liver diseases, the effective factors on its outcomes are still controversial.
This study attempted to identify the most effective factors on death after liver transplantation.
For this purpose, modified least absolute shrinkage and selection operator (LASSO), called Adaptive LASSO, was utilized.
One of the best advantages of this method is considering high number of factors.
Therefore, in a historical cohort study from 2008 to 2013, the clinical findings of 680 patients undergoing liver transplant surgery were considered.
Ridge and Adaptive LASSO regression methods were then implemented to identify the most effective factors on death.
To compare the performance of these two models, receiver operating characteristic (ROC) curve was used.
According to the results, 12 factors in Ridge regression and 9 ones in Adaptive LASSO regression were significant.
The area under the ROC curve (AUC) of Adaptive LASSO was equal to 89% (95% CI: 86%–91%), which was significantly greater than Ridge regression (64%, 95% CI: 61%–68%) (p<0.001).
As a conclusion, the significant factors and the performance criteria revealed the superiority of Adaptive LASSO method as a penalized model versus traditional regression model in the present study.
American Psychological Association (APA)
Raeisi Shahraki, Hadi& Pourahmad, Saeedeh& Ayatollahi, Seyyed Mohammad Taghi. 2016. Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran. Journal of Environmental and Public Health،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108537
Modern Language Association (MLA)
Raeisi Shahraki, Hadi…[et al.]. Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran. Journal of Environmental and Public Health No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1108537
American Medical Association (AMA)
Raeisi Shahraki, Hadi& Pourahmad, Saeedeh& Ayatollahi, Seyyed Mohammad Taghi. Identifying the Prognosis Factors in Death after Liver Transplantation via Adaptive LASSO in Iran. Journal of Environmental and Public Health. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1108537
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1108537