Pregled bibliografske jedinice broj: 1189633
Diagnostic of asthma using fuzzy rules implemented in accordance with international guidelines and physicians experience
Diagnostic of asthma using fuzzy rules implemented in accordance with international guidelines and physicians experience // Proceedings of the 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) / Biljanović, Petar (ur.).
Rijeka: Institute of Electrical and Electronics Engineers (IEEE), 2016. str. 375-380 doi:10.1109/mipro.2016.7522171 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1189633 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Diagnostic of asthma using fuzzy rules implemented
in accordance with international guidelines and
physicians experience
Autori
Badnjevic, Almir ; Gurbeta, Lejla ; Cifrek, Mario ; Marjanovic, Damir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ Biljanović, Petar - Rijeka : Institute of Electrical and Electronics Engineers (IEEE), 2016, 375-380
ISBN
978-953-233-087-8
Skup
2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Mjesto i datum
Opatija, Hrvatska, 30.05.2016. - 03.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
asthma ; fuzzy rules ; classification ; global initiative for asthma
Sažetak
This paper presents a system for classification of asthma based on fuzzy rules. Fuzzy rules are defined according to Global Initiative for Asthma (GINA) guidelines, as well as through consultations with long-term experience of pulmologists. Our fuzzy system for classification of asthma is based on a combination of spirometry (SPIR) and Impulse Oscillometry System (IOS) test results, which are inputs to fuzzy system. Additionally, the use of bronchodilatation and bronhoprovocation enabled a complete patient's dynamic assessment rather than a simple static assessment. The system was retroactively tested with 1250 Medical Reports established by pulmologists, out of which 728 were diagnosed with asthma and 522 were healthy subjects. Sensitivity and specificity were assessed, on this dataset, which were 91.89% and 95.01%, respectively.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Kliničke medicinske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb