Article

Sequential decision making for a class of hidden Markov processes, application to medical treatment optimisation

2022-07-07

Abstract excerpt

Sequential decision-making under uncertainty is a difficult problem that is typically encountered in patient follow-up settings. The literature on finite states problems is well developed; however there has been very little work involving continuous time and state processes. We propose to model a disease evolution through a partially observed piecewise deterministic semi-Markov process where theinter-jump times ha...

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Literature Corpus work: bfe1de83-237b-59e9-99b1-fa628d8233c7
DOI: 10.21203/rs.3.rs-1779605/v1

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