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...

Descripción completa

Detalles Bibliográficos
Autores principales: Schell, Greggory J., Marrero, Wesley J., Lavieri, Mariel S., Sussman, Jeremy B., Hayward, Rodney A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124941/
https://www.ncbi.nlm.nih.gov/pubmed/30288409
http://dx.doi.org/10.1177/2381468316674214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6124941/
https://www.ncbi.nlm.nih.gov/pubmed/30288409
http://dx.doi.org/10.1177/2381468316674214

Ejemplares similares