<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-7AM75J3K</identifier><date>2023</date><creator>Rathi, Megha</creator><relation>documents/doc/7/URN_NBN_SI_doc-7AM75J3K_001.pdf</relation><relation>documents/doc/7/URN_NBN_SI_doc-7AM75J3K_001.txt</relation><format format_type="issue">1</format><format format_type="volume">47</format><format format_type="type">article</format><format format_type="extent">str. 131-140</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="DOI">10.31449/inf.v47i1.3902</identifier><identifier identifier_type="COBISSID">196240131</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-7AM75J3K</identifier><language>eng</language><publisher publisher_location="Ljubljana">Slovene Society Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">duševne motnje</subject><subject language_type_id="slv">pandemija</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Assessing mental health crisis in pandemic situation with computational intelligence</title></Record>