Inconsistency tests for patient records in a coronary heart disease database (CROSBI ID 473798)
Prilog sa skupa u zborniku | ostalo | međunarodna recenzija
Podaci o odgovornosti
Gamberger, Dragan ; Lavrač, Nada ; Krstačić, Goran ; Šmuc, Tomislav
engleski
Inconsistency tests for patient records in a coronary heart disease database
The work presents the results of inconsistency detection experiments on the data records of an atherosclerotic coronary heart disease database collected in the regular medical practice. Medical expert evaluation of some preliminary inductive learning results have demonstrated that explicit detection of outliers can be useful for maintaining the data quality of medical records and that it might be a key for the improvement of medical decisions and their reliability in the regular medical practice. With the intention of on-line detection of possible data inconsistences, sets of confirmation rules have been developed for the database and their test results are reported in this work.
machine learning; outliers; coronary heart disease
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Podaci o prilogu
183-189-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Medical Data Analysis
Brause, Rudiger W. ; Hanisch, Ernst
Berlin: Springer
Podaci o skupu
First International Symposium, ISMDA 2000
predavanje
29.09.2000-30.09.2000
Frankfurt na Majni, Njemačka