Data-Driven Markov Decision Process Approximations for Personalized Hypertension Treatment Planning

Background: Markov decision process (MDP) models are powerful tools. They enable the derivation of optimal treatment policies but may incur long computational times and generate decision rules that are challenging to interpret by physicians. Methods: In an effort to improve usability and interpretab...

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Bibliographische Detailangaben
Veröffentlicht in:MDM Policy Pract
Hauptverfasser: Schell, Greggory J., Marrero, Wesley J., Lavieri, Mariel S., Sussman, Jeremy B., Hayward, Rodney A.
Format: Artigo
Sprache:Inglês
Veröffentlicht: SAGE Publications 2016
Schlagworte:
Original Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6124941/
https://ncbi.nlm.nih.gov/pubmed/30288409
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/2381468316674214
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