Mental health ecosystem of Gipuzkoa (2015) for Bayesian network modelling

This dataset include data from Mental Health network of Gipuzkoa (Spain). It is included information on resources (inputs) and outcomes (outputs) of care, which are described in the manuscript: “Almeda, N., Garcia-Alonso, C. R., Gutierrez-Colosia, M. R., Salinas-Perez, J. A., Iruin-Sanz, A., & Salvador-Carulla, L. (2022). Modelling the balance of care: Impact of an evidence-informed policy on a mental health ecosystem. PLoS ONE, 17(1 January), 1–16. https://doi.org/10.1371/journal.pone.0261621”. This manuscript has been published in Plos One journal. This research focused on developing a formal causal model based on Bayesian network prototypes which were designed by formalizing expert knowledge (by using Expertbased Cooperative Analysis) and resulting in Direct Acyclic Graphs. The best Bayesian networks and their corresponding regression models were used to estimate the statistical ranges or confidence intervals for the dependent variable (potential effect, consequence, or output) g...本数据集包含来自西班牙吉普斯夸省（Gipuzkoa）精神卫生网络的相关数据，涵盖了医疗服务的资源投入（inputs）与服务产出（outputs）两类相关信息，相关细节已在以下论文中详细阐述：Almeda, N., Garcia-Alonso, C. R., Gutierrez-Colosia, M. R., Salinas-Perez, J. A., Iruin-Sanz, A., & Salvador-Carulla, L. (2022). 《构建医疗服务平衡模型：循证政策对精神卫生生态系统的影响》. PLoS ONE, 17(1月号), 1–16. https://doi.org/10.1371/journal.pone.0261621。该论文已发表于PLOS ONE期刊。 本研究聚焦于基于贝叶斯网络（Bayesian network）原型构建正式因果模型，该原型通过专家协同分析（Expertbased Cooperative Analysis）将专家知识形式化，最终生成有向无环图（Direct Acyclic Graphs）。研究选取最优贝叶斯网络及其对应的回归模型，用于估算因变量（潜在影响、效应或产出）的统计范围或置信区间（confidence intervals）……