Zobrazeno 1 - 10
of 614
pro vyhledávání: '"Černelč P"'
Autor:
Gunčar, Gregor, Kukar, Matjaž, Smole, Tim, Moškon, Sašo, Vovko, Tomaž, Podnar, Simon, Černelč, Peter, Brvar, Miran, Notar, Mateja, Köster, Manca, Jelenc, Marjeta Tušek, Notar, Marko
Publikováno v:
Heliyon, Volume 10, ISSUE 8, e29372, Cell, April 30, 2024
The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Virus vs. Bacteria machine learning model was developed to distinguish bet
Externí odkaz:
http://arxiv.org/abs/2305.07877
Autor:
Gregor Gunčar, Matjaž Kukar, Tim Smole, Sašo Moškon, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Notar, Manca Köster, Marjeta Tušek Jelenc, Žiga Osterc, Marko Notar
Publikováno v:
Heliyon, Vol 10, Iss 8, Pp e29372- (2024)
The growing threat of antibiotic resistance necessitates accurate differentiation between bacterial and viral infections for proper antibiotic administration. In this study, a Virus vs. Bacteria machine learning model was developed to distinguish bet
Externí odkaz:
https://doaj.org/article/45d0ce9391574ac288911225263d43d4
Autor:
Kukar, Matjaž, Gunčar, Gregor, Vovko, Tomaž, Podnar, Simon, Černelč, Peter, Brvar, Miran, Zalaznik, Mateja, Notar, Mateja, Moškon, Sašo, Notar, Marko
Physicians taking care of patients with coronavirus disease (COVID-19) have described different changes in routine blood parameters. However, these changes, hinder them from performing COVID-19 diagnosis. We constructed a machine learning predictive
Externí odkaz:
http://arxiv.org/abs/2006.03476
Autor:
Gunčar, Gregor, Kukar, Matjaž, Notar, Mateja, Brvar, Miran, Černelč, Peter, Notar, Manca, Notar, Marko
Quick and accurate medical diagnosis is crucial for the successful treatment of a disease. Using machine learning algorithms, we have built two models to predict a hematologic disease, based on laboratory blood test results. In one predictive model,
Externí odkaz:
http://arxiv.org/abs/1708.00253
Akademický článek
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Autor:
Matjaž Kukar, Gregor Gunčar, Tomaž Vovko, Simon Podnar, Peter Černelč, Miran Brvar, Mateja Zalaznik, Mateja Notar, Sašo Moškon, Marko Notar
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagno
Externí odkaz:
https://doaj.org/article/5e6c746d9f7d42ca988860072ce91764
Publikováno v:
Onkologija, Vol 24, Iss 1 (2020)
The average annual incidence of kidney cancer in Slovenia is 370, and the incidence of bladder cancer is 320. Consortium of three research organizations: the Institute of Oncology Ljubljana, Department of Family Medicine, University of Ljubljana and
Externí odkaz:
https://doaj.org/article/14943a8c35714842ba3d4e678d7b798c
Autor:
Gregor Gunčar, Matjaž Kukar, Mateja Notar, Miran Brvar, Peter Černelč, Manca Notar, Marko Notar
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-12 (2018)
Abstract Quick and accurate medical diagnoses are crucial for the successful treatment of diseases. Using machine learning algorithms and based on laboratory blood test results, we have built two models to predict a haematologic disease. One predicti
Externí odkaz:
https://doaj.org/article/6ce1c80be791462db5395b7bfc94e092
Autor:
Müller-Premru, M., Černelč, P.
Publikováno v:
Epidemiology and Infection, 2004 Oct 01. 132(5), 921-925.
Externí odkaz:
https://www.jstor.org/stable/3865767
Akademický článek
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