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Employing machine learning to assess the accuracy of nearinfrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins
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Title: | Employing machine learning to assess the accuracy of nearinfrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins | Authors: | Trbojević-Stanković, Jasna ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Issue Date: | 2023 | Publication: | Archives of Biological Sciences | ISSN: | 0354-4664![]() ![]() |
Publisher: | Beograd : Srpsko biološko društvo i grupa naučnih instituta | Type: | Article | Collation: | vol. 2023 OnLine-First br. 00 str. 25-25 | DOI: | 10.2298/ABS230502025T | WoS-ID: | 001104161700004 | Scopus-ID: | 2-s2.0-85176557931 | URI: | https://farfar.pharmacy.bg.ac.rs/handle/123456789/5263 https://enauka.gov.rs/handle/123456789/781895 |
URL: | https://doiserbia.nb.rs/Article.aspx?ID=0354-46642300025T | Project: | Ministarstvo prosvete, nauke i tehnološkog razvoja Republike Srbije, Ugovor br. 200105 (Univerzitet u Beogradu, Mašinski fakultet) | Metadata source: | (Preuzeto iz CrossRef-a) Nesic, Dejan | M-category: | 23M23 |
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