Simple understandable analysis of medical data to support the diagnostic process (CROSBI ID 689342)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Babič, František ; Vadovsky, Michal ; Muchova, Miroslava ; Paralič, Jan ; Majnarić, Ljiljana
engleski
Simple understandable analysis of medical data to support the diagnostic process
Medical diagnostic is a complex process consisting of many input variables, which the general practitioner (GP) or specialist should take into account before confirm the expected diagnosis. In the case of electronic records, they have an opportunity to support this process within simple understandable results of the correctly applied suitable methods from machine learning or statistics. We used a small sample of patient's data from Croatia for experimental evaluation of this potential. We applied the methods as Welch's t-test, Pearson chi-square independence test, Youden's index, decision trees and simple K-Means. The cooperating medical expert evaluated the obtained results and confirmed the expected potential for daily medical practice.
medical diagnostic imaging ; logistics ; regression tree analysis ; dementia
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
153-158.
2017.
objavljeno
10.1109/sami.2017.7880293
Podaci o matičnoj publikaciji
IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) - proceedings
Institute of Electrical and Electronics Engineers (IEEE)
978-1-5090-5654-5
2168-2232
Podaci o skupu
IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) 2017
predavanje
26.01.2017-28.01.2017
Herľany, Slovačka
Povezanost rada
Računarstvo