Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61780
Title: Experience Based Clinical Decision Support Systems: An Overview and Case Studies
Contributor(s): Toro, Carlos (author); Graña, Manuel (author); Sanchez, Eider (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author)
Publication Date: 2020-02-05
DOI: 10.1007/978-3-030-39601-5_5
Handle Link: https://hdl.handle.net/1959.11/61780
Abstract: 

This chapter briefly overviews the evolution of the application of the Decisional DNA and the Set of Experience Knowledge Structure (SOEKS) in the medical domain and in particular in the specific case of the experience-based decision support systems. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making processes. The chapter collates more than 10 years of continuous application of the aforesaid techniques into the medical domain in particular for supporting the clinical decision scenario.

Publication Type: Book Chapter
Source of Publication: Knowledge Management and Engineering with Decisional DNA, p. 151-188
Publisher: Springer Cham
Place of Publication: Switzerland
ISBN: 9783030396015
9783030396008
9783030396039
Fields of Research (FoR) 2020: 4602 Artificial intelligence
HERDC Category Description: B1 Chapter in a Scholarly Book
Publisher/associated links: http://www.scopus.com/inward/record.url?eid=2-s2.0-85144884367&partnerID=MN8TOARS
Series Name: Intelligent Systems Reference Library
Editor: Editor(s): Edward Szczerbicki and Cesar Sanin
Appears in Collections:Book Chapter
School of Science and Technology

Files in This Item:
1 files
File SizeFormat 
Show full item record

SCOPUSTM   
Citations

1
checked on Nov 2, 2024
Google Media

Google ScholarTM

Check

Altmetric


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.