Medical expert evaluation of machine learning results for a coronary heart disease database (CROSBI ID 473797)
Prilog sa skupa u zborniku | ostalo | međunarodna recenzija
Podaci o odgovornosti
Gamberger, Dragan ; Krstačić, Goran ; Šmuc, Tomislav
engleski
Medical expert evaluation of machine learning results for a coronary heart disease database
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.
machine learning; induction; coronary heart disease
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Podaci o prilogu
159-168-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Podaci o skupu
First International Symposium, ISMDA 2000
predavanje
29.09.2000-30.09.2000
Frankfurt na Majni, Njemačka