People are increasingly employing artificial intelligence as the basis for decision-support systems (DSSs) to assist them in making well-informed decisions. Adoption of DSS is challenging when such systems lack support, or evidence, for justifying their recommendations. DSSs are widely applied in the medical domain, due to the complexity of the domain and the sheer volume of data that render manual processing difficult. This article proposes a metalevel argumentation-based decision-support system that can reason with heterogeneous data (e.g., body measurements, electronic health records, clinical guidelines), while incorporating the preferences of the human beneficiaries of those decisions. The system constructs template-based explanations for the recommendations that it makes. The proposed framework has been implemented in a system to support stroke patients and its functionality has been tested in a pilot study. User feedback shows that the system can run effectively over an extended period.

中文翻译：

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应用元论证框架支持医疗决策

人们越来越多地使用人工智能作为决策支持系统（DSS）的基础，以帮助他们做出明智的决策。当此类系统缺乏支持或证据来证明其建议合理性时，采用DSS便具有挑战性。由于领域的复杂性和庞大的数据量（难于手动处理），DSS广泛应用于医疗领域。本文提出了一种基于元级别论证的决策支持系统，该系统可以使用异类数据（例如，身体测量，电子健康记录，临床指南）进行推理，同时结合了那些决策的人类受益者的偏好。系统针对所提出的建议构建基于模板的解释。所提出的框架已在支持卒中患者的系统中实施，其功能已在初步研究中进行了测试。用户反馈表明，该系统可以长期有效运行。