2 papers
q-bio.QM2018
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…
q-bio.QM2018
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…