mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Intelligent Matching For Clinical Decision Support System For Cerebral Palsy Using Domain Knowledge
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Relevant information at the right time can be critically important for clinicians when treating patients with cerebral palsy (CP). Gathering this information could be done through the usage of a clinical decision support system with a matching algorithm that finds relevant patients. The relevancy of this information for clinicians is determined by the relevancy of the matched patients. The aim of this thesis was therefore to investigate how an algorithm that matches similar patients with CP could be improved in terms of relevancy. The goal was also to explore the possibilities of domain knowledge and temporal aspects and how they could be combined and utilized in order to improve the matching algorithm. In this bachelor's thesis, we have conducted a literature study about the domain and a domain knowledge survey. The domain knowledge survey included gathering domain knowledge through contact with an expert in the area of CP. We also implemented an algorithm using intelligent similarity measurements based on validation from experts that could accurately match similar patients according to the domain knowledge gathered. The resulting algorithm is presented through a prototype of a CDSS, which allows clinicians to select and match patients through a GUI, and including features such as adjusting weight values for different attributes. The algorithm uses patient data retrieved from the CPUP database, which is specfic to patients with CP, to match with. From the CPUP database many temporal aspects could be concluded to be relevant for similarity assessment. Due to the limited scope of the thesis however, only the most important aspect was utilized. By treating this aspect as an attribute like the other domain knowledge based attributes, but with respect to other variables that affected it, a combination of temporal aspects and domain knowledge was done when identifying similar patients with CP. Using the prototype of the CDSS with the implemented algorithm could help clinicians make better informed decisions, and this leads to improved health care for children and patients with CP, which is why this thesis was important.

Place, publisher, year, edition, pages
2017. , p. 39
Keywords [en]
CDSS, CBR, AI, CP, CPUP, domain, knowledge
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-36231OAI: oai:DiVA.org:mdh-36231DiVA, id: diva2:1131375
Subject / course
Computer Science
Presentation
2017-06-02, Lambda, Västerås, 08:15 (English)
Supervisors
Examiners
Available from: 2017-08-29 Created: 2017-08-14 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

fulltext(890 kB)37 downloads
File information
File name FULLTEXT01.pdfFile size 890 kBChecksum SHA-512
7aaf809a49c62cd3371eaa05bba10d16921e7214c313a1fcb9463d85d45fe375efd3e2303f97a00c811a004f437e9fc5ef6d6ecf88b2e1a2042eb306b73de63d
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Eriksson Falk, FiliphFrenning, Fredrik
By organisation
School of Innovation, Design and Engineering
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 37 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 74 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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