https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:29328 Wed 27 Apr 2022 14:49:55 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36158 0 showed the best performance for differentiating T1DM patients with CAN (p < 0.0001). PE measures showed better performance with ordinal patterns and τ = 4, 5 and 7 for differentiating patients with CAN. RE and PE provide complementary information achieving 100% classification accuracy (p < 0.0001 and p < 0.001, respectively). This approach might be promising as a sensitive and specific tool for CAN diagnosis in T1DM.]]> Thu 20 Feb 2020 14:45:19 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:24028 Fri 11 Aug 2017 12:23:54 AEST ]]>