139 citations · 178 across the 3 of their papers we have counts for
3 papers
The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up
Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young +93
We present the findings of "The Alzheimer's Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared the performance of 92 algorithms from 33 international…
Using path signatures to predict a diagnosis of Alzheimer's disease
P. J. Moore, J. Gallacher, T. J. Lyons
The path signature is a means of feature generation that can encode nonlinear interactions in the data as well as the usual linear features. It can distinguish the ordering of time…
Random forest prediction of Alzheimer's disease using pairwise selection from time series data
Paul Moore, Terry Lyons, John Gallacher
Time-dependent data collected in studies of Alzheimer's disease usually has missing and irregularly sampled data points. For this reason time series methods which assume regular sa…