SwePub - sökning: WFRF:(Vasiloglou Nikolaos)

Numrering	Referens	Omslagsbild	Hitta
1.	Gavrilis, Dimitris, et al. (författare) An Inelligent Assistant for Physicians 2016 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 Konferensbidrag (refereegranskat)abstract 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.

Gavrilis, Dimitris, et al. (författare)
An Inelligent Assistant for Physicians
2016
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
Konferensbidrag (refereegranskat)abstract
- 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.

Träfflista för sökning "WFRF:(Vasiloglou Nikolaos) "