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[通过人工智能理解健康公平性:基于主体建模(ABM)的案例]

[Understanding health equity through artificial intelligence The case of Agent-Based Modelling (ABM)].

作者信息

Morisod Kevin, Nguyen Khoa, Grazioli Véronique S, Marti Joachim, Bodenmann Patrick

机构信息

Département vulnérabilités et médecine sociale, Centre universitaire de médecine générale et de santé publique, Unisanté, 1011 Lausanne.

Department Systems Immunology, Braunschweig Integrated Centre of Systems Biology (BRICS), Helmholtz Centre for Infection Research, Rebenring 56, 38106 Braunschweig.

出版信息

Rev Med Suisse. 2023 Jul 5;19(834):1322-1326. doi: 10.53738/REVMED.2023.19.834.1322.

Abstract

Agent-Based Modelling (ABM) is a computer modelling technique that simulates the behaviour and interactions of autonomous agents within a virtual environment. Applied to health equity, this technique allows for a better understanding of the complex social and economic determinants that contribute to health inequities and enables the evaluation of the potential effects of public policies on the latter. Despite some limitations related to the accessibility and quality of health data and the complexity of the models, ABM appears to be a promising tool in the field of health equity, both for researchers in public or community health and for policy makers.

摘要

基于主体的建模(ABM)是一种计算机建模技术,用于模拟虚拟环境中自主主体的行为和交互。将该技术应用于健康公平领域,有助于更好地理解导致健康不平等的复杂社会和经济决定因素,并能够评估公共政策对健康不平等的潜在影响。尽管在健康数据的可获取性和质量以及模型的复杂性方面存在一些局限性,但ABM对于公共卫生或社区卫生领域的研究人员以及政策制定者而言,似乎都是健康公平领域中一种很有前景的工具。

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