Pregled bibliografske jedinice broj: 13816
Machine learning approach defines immune response during met-enkephalin immunotherapy in multiple sclerosis and optic neuritis.
Machine learning approach defines immune response during met-enkephalin immunotherapy in multiple sclerosis and optic neuritis. // Proceedings of the International Conference on Advances in Systems, Signals, Control, Computers : SSCC '98 / Bajić, V.B. (ur.).
Durban: IAAMSAD ; South African branch of the Academy of Nonlinear Sciences, 1998. str. 302-305 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 13816 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Machine learning approach defines immune response during met-enkephalin immunotherapy in multiple sclerosis and optic neuritis.
Autori
Štambuk, Nikola ; Mašić, Nikola ; Brinar, Vesna ; Trbojević-Čepe, Milica ; Štambuk, Vjera ; Rabatić, Sabina ; Marotti, Tanja ; Šverko, Višnja ; Marušić-Della Marina, Branka ; Brzović, Zdravko ; Zurak, Niko ; Svoboda Beusan, Ivna ; Mažuran, Renata ; Martinić, Roko ; Štambuk, Ana ; Karaman, Ksenija ; Gagro, Alenka ; Rudolf, Maja ; Malenica, Branko ; Pokrić, Biserka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Conference on Advances in Systems, Signals, Control, Computers : SSCC '98
/ Bajić, V.B. - Durban : IAAMSAD ; South African branch of the Academy of Nonlinear Sciences, 1998, 302-305
ISBN
0-620-23135-1
Skup
International Conference on Advances in Systems, Signals, Control, Computers : SSCC '98
Mjesto i datum
Durban, Južnoafrička Republika, 22.09.1998. - 24.09.1998
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
multiple sclerosis; optic neuritis; peptid-M; LUPEX; met-enkephalin; C4.5 classifier; decision making; CD23; CD4; CD8; interferon; LPO; therapy; EDSS; cells
Sažetak
Peptide therapy has been successfully applied as useful procedure for the treatment of several immune-mediated diseases. Standatd statistical approach based on the comparison of individual parameters is not always appropriate tool for the determination of prognostic parameters defining the response to peptide application. We used another data analysis based on the non-linear machine learning approach with C4.5 decision tree as a classifier. The method has been tested on the model of met-enkephalin, i.e., peptid-M, (LUPEX) vaccination in multiple sclerosis and optic neuritis.
Izvorni jezik
Engleski
Znanstvena područja
Javno zdravstvo i zdravstvena zaštita, Farmacija
POVEZANOST RADA
Ustanove:
Imunološki zavod d.d.,
Institut "Ruđer Bošković", Zagreb
Profili:
Biserka Pokrić
(autor)
Vesna Brinar
(autor)
Nikola Štambuk
(autor)
Ivna Svoboda-Beusan
(autor)
Vjera Štambuk
(autor)
Ksenija Karaman
(autor)
Sabina Rabatić
(autor)
Milica Trbojević-Čepe
(autor)
Tatjana Marotti
(autor)
Roko Martinić
(autor)
Ana-Višnja Šverko
(autor)
Nikola Mašić
(autor)
Alenka Gagro
(autor)
Zdravko Brzović
(autor)
Branka Marušić-Della Marina
(autor)
Renata Mažuran
(autor)
Branko Malenica
(autor)