Pregled bibliografske jedinice broj: 41469
Medical expert evaluation of machine learning results for a coronary heart disease database
Medical expert evaluation of machine learning results for a coronary heart disease database // Medical Data Analysis / Brause, Rudiger W. ; Hanisch, Ernst (ur.).
Berlin: Springer, 2000. str. 159-168 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), ostalo)
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Naslov
Medical expert evaluation of machine learning results for a coronary heart disease database
Autori
Gamberger, Dragan ; Krstačić, Goran ; Šmuc, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), ostalo
Izvornik
Medical Data Analysis
/ Brause, Rudiger W. ; Hanisch, Ernst - Berlin : Springer, 2000, 159-168
Skup
First International Symposium, ISMDA 2000
Mjesto i datum
Frankfurt na Majni, Njemačka, 29.09.2000. - 30.09.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
machine learning; induction; coronary heart disease
Sažetak
A set of machine learning experiments was performed on the atherosclerotic coronary heart disease data collected in the regular medical practice, with intention to evaluate established medical diagnostic practice, investigate the relations between the results of less important diagnostic tests, and detect novel regularities in patients' data. The results of these experiments were evaluated by the medical expert for their soundness with respect to the existing knowledge in the domain, and potential for the generation of new and useful medical knowledge. The performed experiments generally verify the existing medical practice in non-invasive diagnosis of atherosclerotic coronary heart disease, but also demonstrate how the synergy of medical and machine learning expertise helps in the inference of a new knowledge and potentially could increase efficiency and reliability of the medical diagnostic process.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika