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

Autor: Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koh Ono, Motoko Yanagita, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-23319-1
Popis: 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.
Databáze: Directory of Open Access Journals