Pregled bibliografske jedinice broj: 1131630
Expert fuzzy system for estimating risks of hypertension
Expert fuzzy system for estimating risks of hypertension // RI-STEM-2021 / Lorencin, Ivan ; Baressi Šegota, Sandi (ur.).
Rijeka, 2021. str. 111-120 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1131630 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Expert fuzzy system for estimating risks of
hypertension
Autori
Nikolić, Jovana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
RI-STEM-2021
/ Lorencin, Ivan ; Baressi Šegota, Sandi - Rijeka, 2021, 111-120
ISBN
978-953-8246-22-7
Skup
International Student Scientific Conference (Ri-STEM 2021)
Mjesto i datum
Rijeka, Hrvatska, 10.06.2021. - 11.06.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Body mass index ; Defuzzification ; Diastolic blood pressure ; Expert System ; Fuzzy logic ; Fuzzification ; Hypertension ; Systolic blood pressure
Sažetak
These days medical application, especially diagnosis of some diseases, has rapidly increased because of its importance and effectiveness to detect diseases and classify patients. In this article, the design of an expert fuzzy system that aims at providing diagnosis of hypertension is presented. The hypertension is one of the most dangerous diseases that seriously threat the health of people and communities worldwide. One of the most dangerous aspects of the hypertension is that you may not know that you have it. In this study, expert system using fuzzy for diagnosis of hypertension is proposed. The input parameters include gender, age, systolic blood pressure (SBP), diastolic blood pressure (DBP), blood glucose level, body mass index (BMI), heart rate, smoking, genetic factors. The diagnosis process, linguistic variables and their values were modeled based on expert’s knowledge and from existing database. It is expected that proposed Fuzzy Expert System can provide a faster, cheaper and more accurate result compared with other traditional methods.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne tehničke znanosti, Temeljne medicinske znanosti
POVEZANOST RADA