<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-HUIECY9S</identifier><date>2021</date><creator>Abaker, Ali A.</creator><creator>Saeed, Fakhreldeen A.</creator><relation>documents/doc/H/URN_NBN_SI_doc-HUIECY9S_001.pdf</relation><relation>documents/doc/H/URN_NBN_SI_doc-HUIECY9S_001.txt</relation><format format_type="issue">1</format><format format_type="volume">45</format><format format_type="type">article</format><format format_type="extent">str. 117-125</format><identifier identifier_type="DOI">/10.31449/inf.v45i1.3111</identifier><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="COBISSID_HOST">68117763</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-HUIECY9S</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">napovedovanje</subject><subject language_type_id="slv">sladkorna bolezen</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>A comparative analysis of machine learning algorithms to build a predictive model for detecting diabetes complications</title></Record>