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An Inelligent Assis...
An Inelligent Assistant for Physicians
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- Gavrilis, Dimitris (författare)
- Department of Electrical Engineering and Computer Technology, University of Patras, Patras, Greece
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- Georgoulas, Georgios (författare)
- Luleå tekniska universitet,Signaler och system
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- Vasiloglou, Nikolaos (författare)
- Ismion Inc., 1349 West Peachtree, suite 1850, Atlanta GA 30318, USA
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- Nikolakopoulos, George (författare)
- Luleå tekniska universitet,Signaler och system
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(creator_code:org_t)
- Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2016
- 2016
- Engelska.
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Ingår i: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, FL, 17-20 August 2016. - Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 2586-2589
- Relaterad länk:
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https://urn.kb.se/re...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Maskininlärning
- Machine Learning
- Reglerteknik
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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