2 citations · 3 across the 3 of their papers we have counts for
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cs.LG2024
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
Peter A. Wijeratne, Daniel C. Alexander
Disease progression models infer group-level temporal trajectories of change in patients' features as a chronic degenerative condition plays out. They provide unique insight into d…
cs.LG2020★ 2 cited
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression
Peter A. Wijeratne, Daniel C. Alexander
Progressive diseases worsen over time and are characterised by monotonic change in features that track disease progression. Here we connect ideas from two formerly separate methodo…