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.

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Detalles Bibliográficos
Autores principales:	Kazuki Nakamura, Ryosuke Kojima, Eiichiro Uchino, Koh Ono, Motoko Yanagita, Koichi Murashita, Ken Itoh, Shigeyuki Nakaji, Yasushi Okuno
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8121b781a8ec44169977c8ba8efbdc57
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spelling	oai:doaj.org-article:8121b781a8ec44169977c8ba8efbdc572021-12-02T15:00:49ZHealth improvement framework for actionable treatment planning using a surrogate Bayesian model10.1038/s41467-021-23319-12041-1723https://doaj.org/article/8121b781a8ec44169977c8ba8efbdc572021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23319-1https://doaj.org/toc/2041-1723Clinical 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.Kazuki NakamuraRyosuke KojimaEiichiro UchinoKoh OnoMotoko YanagitaKoichi MurashitaKen ItohShigeyuki NakajiYasushi OkunoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Kazuki Nakamura Ryosuke Kojima Eiichiro Uchino Koh Ono Motoko Yanagita Koichi Murashita Ken Itoh Shigeyuki Nakaji Yasushi Okuno Health improvement framework for actionable treatment planning using a surrogate Bayesian model
description	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.
format	article
author	Kazuki Nakamura Ryosuke Kojima Eiichiro Uchino Koh Ono Motoko Yanagita Koichi Murashita Ken Itoh Shigeyuki Nakaji Yasushi Okuno
author_facet	Kazuki Nakamura Ryosuke Kojima Eiichiro Uchino Koh Ono Motoko Yanagita Koichi Murashita Ken Itoh Shigeyuki Nakaji Yasushi Okuno
author_sort	Kazuki Nakamura
title	Health improvement framework for actionable treatment planning using a surrogate Bayesian model
title_short	Health improvement framework for actionable treatment planning using a surrogate Bayesian model
title_full	Health improvement framework for actionable treatment planning using a surrogate Bayesian model
title_fullStr	Health improvement framework for actionable treatment planning using a surrogate Bayesian model
title_full_unstemmed	Health improvement framework for actionable treatment planning using a surrogate Bayesian model
title_sort	health improvement framework for actionable treatment planning using a surrogate bayesian model
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8121b781a8ec44169977c8ba8efbdc57
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Health improvement framework for actionable treatment planning using a surrogate Bayesian model

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