Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
An Inelligent Assistant for Physicians
Department of Electrical Engineering and Computer Technology, University of Patras.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0001-9701-4203
Ismion Inc.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0003-0126-1897
2016 (Engelska)Ingår i: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, 17-20 August 2016,, 2016Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

This paper presents a software tool developed for assisting physicians during an examination process. The tool consists of a number of modules with the aim to make the examination process not only quicker but also fault proof moving from a simple electronic medical records management system towards an intelligent assistant for the physician. The intelligent component exploits users inputs as well as well established standards to line up possible suggestions for filling in the examination report. As the physician continues using it, the tool keeps extracting new knowledge. The architecture of the tool is presented in brief while the intelligent component which builds upon the notion of multilabel learning is presented in more detail. Our preliminary results from a real test case indicate that the performance of the intelligent module can reach quite high performance without a large amount of data.

Ort, förlag, år, upplaga, sidor
2016.
Nyckelord [en]
Information technology - Automatic control
Nyckelord [sv]
Informationsteknik - Reglerteknik
Nationell ämneskategori
Datavetenskap (datalogi)
Forskningsämne
Maskininlärning
Identifikatorer
URN: urn:nbn:se:ltu:diva-64436Lokalt ID: 74e5c09c-c1f6-42bf-87d4-306581b0bebdOAI: oai:DiVA.org:ltu-64436DiVA, id: diva2:1114481
Konferens
38th International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Lake Buena Vista (Orlando), Florida, USA, August 17-20 2016
Anmärkning

Upprättat; 2016; 20160531 (geonik)

Tillgänglig från: 2017-06-23 Skapad: 2017-06-23 Senast uppdaterad: 2018-08-31Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Personposter BETA

Georgoulas, GeorgiosNikolakopoulos, George

Sök vidare i DiVA

Av författaren/redaktören
Georgoulas, GeorgiosNikolakopoulos, George
Av organisationen
Signaler och system
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

urn-nbn

Altmetricpoäng

urn-nbn
Totalt: 42 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf