<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-FWCLQ7EK</identifier><date>2021</date><creator>Al-Hashem, Munder</creator><creator>Alqudah, Ali Mohammad</creator><creator>Alqudah, Amin</creator><relation>documents/doc/F/URN_NBN_SI_doc-FWCLQ7EK_001.pdf</relation><relation>documents/doc/F/URN_NBN_SI_doc-FWCLQ7EK_001.txt</relation><format format_type="issue">4</format><format format_type="volume">45</format><format format_type="type">article</format><format format_type="extent">str. 571-581</format><identifier identifier_type="ISSN">0350-5596</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID_HOST">96847619</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-FWCLQ7EK</identifier><language>eng</language><publisher>Slovensko društvo Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="slv">možganska kap</subject><subject language_type_id="slv">načrtovanje</subject><subject language_type_id="slv">računalništvo</subject><subject language_type_id="slv">rehabilitacija</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Reduced number of parameters for predicting post-stroke activities of daily living using machine learning algorithms on initiating rehabilitation</title></Record>