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Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset
Joint Authors
Lin, Hsuan-Hung
Chen, Yung-Fu
Lin, Chih-Sheng
Wang, Kuo-An
Rahman, La Ode Abdul
Chung, Wei-Sheng
Lee, Dah-Jye
Source
Journal of Healthcare Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-22
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
More than 1 billion people suffer from chronic respiratory diseases worldwide, accounting for more than 4 million deaths annually.
Inhaled corticosteroid is a popular medication for treating chronic respiratory diseases.
Its side effects include decreased bone mineral density and osteoporosis.
The aims of this study are to investigate the association of inhaled corticosteroids and fracture and to design a clinical support system for fracture prediction.
The data of patients aged 20 years and older, who had visited healthcare centers and been prescribed with inhaled corticosteroids within 2002–2010, were retrieved from the National Health Insurance Research Database (NHIRD).
After excluding patients diagnosed with hip fracture or vertebrate fractures before using inhaled corticosteroid, a total of 11645 patients receiving inhaled corticosteroid therapy were included for this study.
Among them, 1134 (9.7%) were diagnosed with hip fracture or vertebrate fracture.
The statistical results showed that demographic information, chronic respiratory diseases and comorbidities, and corticosteroid-related variables (cumulative dose, mean exposed daily dose, follow-up duration, and exposed duration) were significantly different between fracture and nonfracture patients.
The clinical decision support systems (CDSSs) were designed with integrated genetic algorithm (GA) and support vector machine (SVM) by training and validating the models with balanced training sets obtained by random and cluster-based undersampling methods and testing with the imbalanced NHIRD dataset.
Two different objective functions were adopted for obtaining optimal models with best predictive performance.
The predictive performance of the CDSSs exhibits a sensitivity of 69.84–77.00% and an AUC of 0.7495–0.7590.
It was concluded that long-term use of inhaled corticosteroids may induce osteoporosis and exhibit higher incidence of hip or vertebrate fractures.
The accumulated dose of ICS and OCS therapies should be continuously monitored, especially for patients with older age and women after menopause, to prevent from exceeding the maximum dosage.
American Psychological Association (APA)
Chen, Yung-Fu& Lin, Chih-Sheng& Wang, Kuo-An& Rahman, La Ode Abdul& Lee, Dah-Jye& Chung, Wei-Sheng…[et al.]. 2018. Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset. Journal of Healthcare Engineering،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1191415
Modern Language Association (MLA)
Chen, Yung-Fu…[et al.]. Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset. Journal of Healthcare Engineering No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1191415
American Medical Association (AMA)
Chen, Yung-Fu& Lin, Chih-Sheng& Wang, Kuo-An& Rahman, La Ode Abdul& Lee, Dah-Jye& Chung, Wei-Sheng…[et al.]. Design of a Clinical Decision Support System for Fracture Prediction Using Imbalanced Dataset. Journal of Healthcare Engineering. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1191415
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191415