Pregled bibliografske jedinice broj: 1056092
Simple understandable analysis of medical data to support the diagnostic process
Simple understandable analysis of medical data to support the diagnostic process // IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) - proceedings
Herľany, Slovačka: Institute of Electrical and Electronics Engineers (IEEE), 2017. str. 153-158 doi:10.1109/sami.2017.7880293 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1056092 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Simple understandable analysis of medical data to support the diagnostic process
Autori
Babič, František ; Vadovsky, Michal ; Muchova, Miroslava ; Paralič, Jan ; Majnarić, Ljiljana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) - proceedings
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2017, 153-158
ISBN
978-1-5090-5654-5
Skup
IEEE 15th International Symposium on Applied Machine Intelligence and Informatics (SAMI) 2017
Mjesto i datum
Herľany, Slovačka, 26.01.2017. - 28.01.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
medical diagnostic imaging ; logistics ; regression tree analysis ; dementia
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Osijek,
Fakultet za dentalnu medicinu i zdravstvo, Osijek
Profili:
Ljiljana Majnarić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus