Pregled bibliografske jedinice broj: 54511
Redundant Thyroid Laboratory Diagnostic Modules fuzzy set, machine learning, prediction
Redundant Thyroid Laboratory Diagnostic Modules fuzzy set, machine learning, prediction // Medical Infobahn for Europe, Proceedings of MIE2000 and GDMS2000 / Hasman, A ; Blobel, B. ; Dudeck, J., Engelbrecht, R. et al. (ur.).
Amsterdam: IOS Press, 2000. str. 842-846 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Redundant Thyroid Laboratory Diagnostic Modules fuzzy set, machine learning, prediction
Autori
Sonicki, Zdenko ; Morin, Annie ; Plasaj, Tomislav ; Sonicki, Darija ; Kusić, Zvonko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Medical Infobahn for Europe, Proceedings of MIE2000 and GDMS2000
/ Hasman, A ; Blobel, B. ; Dudeck, J., Engelbrecht, R. et al. - Amsterdam : IOS Press, 2000, 842-846
Skup
Medical Informatics Europe 2000
Mjesto i datum
Hannover, Njemačka, 27.08.2000. - 01.09.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
laboratory information system; diagnostic modules. thyroid
Sažetak
In this paper, we introduced an idea of using redundant thyroid laboratory diagnostic modules integrated in laboratory information system. The first module was based on decision tree which was the result of Assistant algorithm applied to thyroid laboratory test results. Instead of omproving decision riles, the second opinion module was designed based on Spad-S software. Diagnosis obtained with both modules were compared with results before introducing the second opinion module. From the first results it was clear that introducing the second opinion module decreased the number of misclasified records from the first module. With three or more modules, the final diagnosis could be obtained by voting or more complex procedures.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti