<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-DE01ULWW</identifier><date>2021</date><creator>Gadri, Said</creator><relation>documents/doc/D/URN_NBN_SI_doc-DE01ULWW_001.pdf</relation><relation>documents/doc/D/URN_NBN_SI_doc-DE01ULWW_001.txt</relation><format format_type="issue">3</format><format format_type="volume">45</format><format format_type="type">article</format><format format_type="extent">str. 433-440</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID_HOST">98005763</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-DE01ULWW</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoko učenje</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><subject language_type_id="slv">zdravstvo</subject><title>Developing an efficient predictive model based on ML and DL approaches to detect diabetes</title></Record>