<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-RTBBD852</identifier><date>2025</date><creator>Jamal, D. Najumnissa</creator><creator>Mangayarkarasi, T.</creator><relation>documents/doc/R/URN_NBN_SI_doc-RTBBD852_001.pdf</relation><relation>documents/doc/R/URN_NBN_SI_doc-RTBBD852_001.txt</relation><format format_type="volume">49</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 145-155</format><identifier identifier_type="DOI">10.31449/inf.v49i7.5683</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">236435971</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-RTBBD852</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">ledvične bolezni</subject><subject language_type_id="slv">metoda podpornih vektorjev</subject><subject language_type_id="slv">odločitvena drevesa</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Hybrid machine learning classifier models for kidney disease detection</title></Record>