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Case Based Reasoning in a Web Based Decision Support System for Thoracic Surgery
Linköpings universitet, Institutionen för medicinsk teknik, Medicinsk informatik. Linköpings universitet, Tekniska högskolan. University of Bergen, Norway.
Östergötlands Läns Landsting, Hjärt- och Medicincentrum.
Östergötlands Läns Landsting, Hjärt- och Medicincentrum.
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för kardiovaskulär medicin. Linköpings universitet, Hälsouniversitetet. Östergötlands Läns Landsting, Hjärt- och Medicincentrum, Thorax-kärlkliniken i Östergötland.
2013 (engelsk)Inngår i: IFMBE Proceedings 41 / [ed] L.M. Roa Romero, Springer, 2013, s. 1413-1416Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Springer, 2013. s. 1413-1416
Serie
IFMBE Proceedings, ISSN 1680-0737 ; 41
Emneord [en]
Case based reasoning, Nearest Neighbor algorithm, heart failure, web- based systems, thoracic surgery
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-98731DOI: 10.1007/978-3-319-00846-2_350ISBN: 978-3-319-00845-5 (tryckt)ISBN: 978-3-319-00846-2 (tryckt)OAI: oai:DiVA.org:liu-98731DiVA, id: diva2:655658
Konferanse
XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, MEDICON 2013
Tilgjengelig fra: 2013-10-12 Laget: 2013-10-12 Sist oppdatert: 2013-10-24

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