Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing
Abstract Complex health problems require multi-strategy, multi-target interventions. We present a method that uses machine learning techniques to choose optimal interventions from a set of possible interventions within a case study aiming to increase General Practitioner (GP) discussions of physical...
Enregistré dans:
Auteurs principaux: | S. Allender, J. Hayward, S. Gupta, A. Sanigorski, S. Rana, H. Seward, S. Jacobs, S. Venkatesh |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/b6b0855aabc046839faaf63965a08e6c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Prescribable mHealth apps identified from an overview of systematic reviews
par: Oyungerel Byambasuren, et autres
Publié: (2018) -
Tools and analytic techniques to synthesise community knowledge in CBPR using computer-mediated participatory system modelling
par: Joshua Hayward, et autres
Publié: (2020) -
Bayesian network-based missing mechanism identification (BN-MMI) method in medical research
par: Tingyan Yue, et autres
Publié: (2021) -
Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis of β-Thalassemia Trait from Iron Deficiency Anemia
par: Mina Jahangiri, et autres
Publié: (2021) -
Identifying unreliable predictions in clinical risk models
par: Paul D. Myers, et autres
Publié: (2020)