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Pregled bibliografske jedinice broj: 39495

Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis.


Štambuk, Nikola; Mašić, Nikola; Brinar, Vesna; Štambuk, Vjera; Rabatić, Sabina; Marotti, Tanja; Šverko, Višnja; Marušić-Della Marina, Branka; Brzović, Zdravko; Zurak, Niko et al.
Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis. // Book of Abstract Math/Chem/Comp 2000 / Graovac, Ante ; Plavšić, Dean ; Pokrić, Biserka ; Smrečki, Vilko (ur.).
Zagreb: Math/Chem/Comp, 2000. (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 39495 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis.

Autori
Štambuk, Nikola ; Mašić, Nikola ; Brinar, Vesna ; Štambuk, Vjera ; Rabatić, Sabina ; Marotti, Tanja ; Šverko, Višnja ; Marušić-Della Marina, Branka ; Brzović, Zdravko ; Zurak, Niko ; Svoboda-Beusan, Ivna ; Mažuran, Renata ; Karaman, Ksenija ; Gagro, Alenka ; Rudolf, Maja ; Malenica, Branko ; Konjevoda, Paško ; Pokrić, Biserka

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Book of Abstract Math/Chem/Comp 2000 / Graovac, Ante ; Plavšić, Dean ; Pokrić, Biserka ; Smrečki, Vilko - Zagreb : Math/Chem/Comp, 2000

Skup
Math/Chem/Comp 2000 - the 15th Dubrovnik International Course & Conference on the Interfaces between Mathematics, Chemistry and Computer Sciences.

Mjesto i datum
Dubrovnik, Hrvatska, 19.-24.06.2000

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
met-enkephalin; immunomodulation; multiple sclerosis; decision tree classifier; prognostic parameters
(met-enkephalin; immunomodulation; multiple sclerosis; decision tree classifier; prognostic parameters; neural network)

Sažetak
We present the analysis of met-enkephalin (LUPEX) induced effects on 52 different immunochemical parameters that define cellular and humoral immune response. In addition to the standard statistical analysis we used artificial intelligence data mining methods, i.e. nonlinear machine learning approach with C4.5 decision tree classifier and self organising artificial neural network. It is shown that artificial intelligence based methods of data analysis provide useful alternative to the standard statistical approach, enable the extraction of few relevant immunochemical parameters with their mutual relationships, and ensure accurate prediction of the response to drug treatment.

Izvorni jezik
Engleski

Znanstvena područja
Javno zdravstvo i zdravstvena zaštita, Farmacija



POVEZANOST RADA


Ustanove:
Imunološki zavod d.d.,
Institut "Ruđer Bošković", Zagreb


Citiraj ovu publikaciju:

Štambuk, Nikola; Mašić, Nikola; Brinar, Vesna; Štambuk, Vjera; Rabatić, Sabina; Marotti, Tanja; Šverko, Višnja; Marušić-Della Marina, Branka; Brzović, Zdravko; Zurak, Niko et al.
Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis. // Book of Abstract Math/Chem/Comp 2000 / Graovac, Ante ; Plavšić, Dean ; Pokrić, Biserka ; Smrečki, Vilko (ur.).
Zagreb: Math/Chem/Comp, 2000. (poster, međunarodna recenzija, sažetak, znanstveni)
Štambuk, N., Mašić, N., Brinar, V., Štambuk, V., Rabatić, S., Marotti, T., Šverko, V., Marušić-Della Marina, B., Brzović, Z. & Zurak, N. (2000) Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis.. U: Graovac, A., Plavšić, D., Pokrić, B. & Smrečki, V. (ur.)Book of Abstract Math/Chem/Comp 2000.
@article{article, author = {\v{S}tambuk, Nikola and Ma\v{s}i\'{c}, Nikola and Brinar, Vesna and \v{S}tambuk, Vjera and Rabati\'{c}, Sabina and Marotti, Tanja and \v{S}verko, Vi\v{s}nja and Maru\v{s}i\'{c}-Della Marina, Branka and Brzovi\'{c}, Zdravko and Zurak, Niko and Svoboda-Beusan, Ivna and Ma\v{z}uran, Renata and Karaman, Ksenija and Gagro, Alenka and Rudolf, Maja and Malenica, Branko and Konjevoda, Pa\v{s}ko and Pokri\'{c}, Biserka}, year = {2000}, pages = {84}, keywords = {met-enkephalin, immunomodulation, multiple sclerosis, decision tree classifier, prognostic parameters}, title = {Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis.}, keyword = {met-enkephalin, immunomodulation, multiple sclerosis, decision tree classifier, prognostic parameters}, publisher = {Math/Chem/Comp}, publisherplace = {Dubrovnik, Hrvatska} }
@article{article, author = {\v{S}tambuk, Nikola and Ma\v{s}i\'{c}, Nikola and Brinar, Vesna and \v{S}tambuk, Vjera and Rabati\'{c}, Sabina and Marotti, Tanja and \v{S}verko, Vi\v{s}nja and Maru\v{s}i\'{c}-Della Marina, Branka and Brzovi\'{c}, Zdravko and Zurak, Niko and Svoboda-Beusan, Ivna and Ma\v{z}uran, Renata and Karaman, Ksenija and Gagro, Alenka and Rudolf, Maja and Malenica, Branko and Konjevoda, Pa\v{s}ko and Pokri\'{c}, Biserka}, year = {2000}, pages = {84}, keywords = {met-enkephalin, immunomodulation, multiple sclerosis, decision tree classifier, prognostic parameters, neural network}, title = {Artificial intelligence based analysis of met-enkephalin induced immunomodulation in multiple sclerosis.}, keyword = {met-enkephalin, immunomodulation, multiple sclerosis, decision tree classifier, prognostic parameters, neural network}, publisher = {Math/Chem/Comp}, publisherplace = {Dubrovnik, Hrvatska} }




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