https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45667 Wed 02 Nov 2022 15:59:08 AEDT ]]> Confirmed disability progression as a marker of permanent disability in multiple sclerosis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52212 88% likely to be sustained (events with score ˃1.5). Conclusions: Clinicodemographic characteristics of 6-month confirmed disability progression events identify those at high risk of sustained long-term disability. This knowledge will allow future trials to better assess the effect of therapy on long-term disability accrual.]]> Thu 05 Oct 2023 10:22:58 AEDT ]]> Examining the environmental risk factors of progressive-onset and relapsing-onset multiple sclerosis: recruitment challenges, potential bias, and statistical strategies https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:53931 Fri 22 Mar 2024 08:23:10 AEDT ]]>