most citedRandom forest prediction of Alzheimer's disease using pairwise selection from time series data

139 citations · 178 across the 3 of their papers we have counts for

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q-bio.QM2018★ 39 cited

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★ 139 cited

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…