Health improvement framework for actionable treatment planning using a surrogate Bayesian model

Health improvement framework for actionable treatment planning using a surrogate Bayesian model

Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Here, the authors introduce a modeling framework to evaluate the actionability of treatment pathways.

Bibliographic Details
Main Authors: Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koh Ono, Motoko Yanagita, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23319-1
Description
Summary:Clinical decision-making regarding treatments based on personal characteristics leads to effective health improvements. Here, the authors introduce a modeling framework to evaluate the actionability of treatment pathways.
ISSN:2041-1723

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