*0011293795 *008200210s2019 xx# 000 0 eng *019 $bk *100 $aCoucheron, Sverre$4aut$uUiT Norges arktiske universitet, Fakultet for naturvitenskap og teknologi, Institutt for informatikk$_151674700 *245 $aEDMON - a system architecture for real-time infection monitoring and outbreak detection based on self-recorded data from people with type 1 diabetes: system design and prototype implementation *300 $aS. 37-44 : ill. *500 $aHeftet har tittelen: SHI 2019. Proceedings of the 17th Scandinavian Conference on Health Informatics, November 12-13, 2019, Oslo, Norway *500 $aVitenskapelig artikkel *5208 $aInneholder sammendrag *653 $acloud backend solution$9eng$_151674800 *653 $ainfection detection$9eng$_151674900 *653 $aoutbreak detection$9eng$_151675000 *653 $apatient module$9eng$_151675100 *653 $atype 1 diabetes$9eng$_142604600 *700 $aBotsis, Taxiarchis;$4aut;$uJohns Hopkins University School of Medicine, Baltimore, MD, USA$_151675200 *700 $aHartvigsen, Gunnar$4aut;$uUiT Norges arktiske universitet, Fakultet for naturvitenskap og teknologi, Institutt for informatikk$_151675300 *700 $aWoldaregay, Ashenafi Zebene;$4aut;$uUiT Norges arktiske universitet, Fakultet for naturvitenskap og teknologi, Institutt for informatikk$_151675400 *700 $aÅrsand, Eirik;$4aut;$uUniversitetssykehuset Nord-Norge, Nasjonalt senter for e-helseforskning$_151675500 *773 $tLinköping electronic conference proceedings [elektronisk ressurs]$gIssue 161 (2019)$x1650-3740 *8564 $uhttp://www.ep.liu.se/ecp/161/007/ecp19161007.pdf *999 $z2000648141$anorart:2000648141 ^