Semiparametric Clustering Methods for Modeling Chronic Disease Dynamics

The semiparametric clustering framework is extended to build probabilistic models, abstractions, of patient sequences using continuous-time Markov models, providing a principled way of transforming arbitrarily sampled, irregular length clinical observations to serve as input for a nonparametric Bayesian clustering method.