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Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications
Joint Authors
Source
International Journal of Telemedicine and Applications
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In this paper, we present the design of a clinical decision support system (CDSS) for monitoring comorbid conditions.
Specifically, we address the architecture of a CDSS by characterizing it from three layers and discuss the algorithms in each layer.
Also we address the applications of CDSSs in a few real scenarios and analyze the accuracy of a CDSS in consideration of the potential conflicts when using multiple clinical practice guidelines concurrently.
Finally, we compare the system performance in our design with that in the other design schemes.
Our study shows that our proposed design can achieve a clinical decision in a shorter time than the other designs, while ensuring a high level of system accuracy.
American Psychological Association (APA)
Fan, Aihua& Lin, Di& Tang, Yu. 2017. Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications. International Journal of Telemedicine and Applications،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1169734
Modern Language Association (MLA)
Fan, Aihua…[et al.]. Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications. International Journal of Telemedicine and Applications No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1169734
American Medical Association (AMA)
Fan, Aihua& Lin, Di& Tang, Yu. Clinical Decision Support Systems for Comorbidity: Architecture, Algorithms, and Applications. International Journal of Telemedicine and Applications. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1169734
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169734