liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Case Based Reasoning in a Web Based Decision Support System for Thoracic Surgery
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology. University of Bergen, Norway.
Östergötlands Läns Landsting, Heart and Medicine Center.
Östergötlands Läns Landsting, Heart and Medicine Center.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Thoracic and Vascular Surgery.
2013 (English)In: IFMBE Proceedings 41 / [ed] L.M. Roa Romero, Springer, 2013, 1413-1416 p.Conference paper, Published paper (Refereed)
Abstract [en]

Case Based Reasoning (CBR) methodology provides means of collecting patients cases and retrieving them following the clinical criteria. By studying previously treated patients with similar backgrounds, the physician can get a better base for deciding on treatment for a current patient and be better prepared for complications that might occur during and after surgery. This could be taken advantage of when there is not enough data for a statistical analysis, but electronic patient records that provide all the relevant information to assure a timely and accurate clinical insight into a patient particular situation.

We have developed and implemented a CBR engine using the Nearest Neighbor algorithm. A patient case is represented as a combination of perioperative variable values and operation reports. Physicians could review a selected number of cases by browsing through the electronic patient record and operational narratives which provides an exhaustive insight into the previously treated cases. An evaluation of the search algorithm suggests a very good functionality.

Place, publisher, year, edition, pages
Springer, 2013. 1413-1416 p.
Series
IFMBE Proceedings, ISSN 1680-0737 ; 41
Keyword [en]
Case based reasoning, Nearest Neighbor algorithm, heart failure, web- based systems, thoracic surgery
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-98731DOI: 10.1007/978-3-319-00846-2_350ISBN: 978-3-319-00845-5 (print)ISBN: 978-3-319-00846-2 (print)OAI: oai:DiVA.org:liu-98731DiVA: diva2:655658
Conference
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Available from: 2013-10-12 Created: 2013-10-12 Last updated: 2013-10-24

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Babic, AnkicaCasimir Ahn, Henrik

Search in DiVA

By author/editor
Babic, AnkicaCasimir Ahn, Henrik
By organisation
Medical InformaticsThe Institute of TechnologyHeart and Medicine CenterDivision of Cardiovascular MedicineFaculty of Health SciencesDepartment of Thoracic and Vascular Surgery
Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 259 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf