<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-QYI0DVJ8</identifier><date>2025</date><creator>Tasleem, Hafiz Haseeb</creator><relation>documents/doc/Q/URN_NBN_SI_doc-QYI0DVJ8_001.pdf</relation><relation>documents/doc/Q/URN_NBN_SI_doc-QYI0DVJ8_001.txt</relation><format format_type="issue">15</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 41-53</format><identifier identifier_type="DOI">10.31449/inf.v49i15.7601</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">243053315</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-QYI0DVJ8</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">asimptomatski bolniki</subject><subject language_type_id="slv">COVID-19</subject><subject language_type_id="slv">model KNN</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Development and evaluation of machine learning models for early detection of asymptomatic COVID-19 patients using heart rate and oxygen levels</title></Record>