Gams Matjaž, Kolar Žiga, Vuk Zdenko, Samuelsson Christina, Jäger Bernhard, Dovgan Erik
Department of Intelligent Systems, Jožef Stefan Institute, Jamova Cesta 39, 1000 Ljubljana, Slovenia.
Department of Biomedical and Clinical Sciences, Division of Sensory Organs and Communication, Linköping University, SE-581 83 Linköping, Sweden.
Healthcare (Basel). 2022 Feb 21;10(2):401. doi: 10.3390/healthcare10020401.
The EU PlatformUptake project's main goal is to investigate the usage of EU open and partly-open platforms in active and healthy aging (AHA) and ambient-assisted living (AAL) domains, from a software viewpoint. The aim of the project was to provide tools for a deeper interpretation and examination of the platforms, gather user feedback, and use it to improve the state-of-the-art approach in the AHA and AAL domains, and define instructions to enhance the platforms within the recommended order. The emphasis is on the software viewpoint for decision makers. In this paper, we present (i) the PlatformUptake methodology for AHA open platform assessments and its main objectives; (ii) clustering of the analyzed platforms; and (iii) the taxonomies generated from the text descriptions of the chosen platforms. With the use of the clustering tools, we present which platforms could be grouped together due to their similarities. Different numbers of clusters were obtained with two clustering approaches, resulting in the most informative two and four cluster groups. The platforms could be rather neatly presented in this way and, thus, potentially guide future platform structuring. Moreover, taxonomies, i.e., decision trees of platforms, were generated to easily determine each specific platform or to find platforms with the desired properties. Altogether, the computer comprehension of the platforms may be important additions to the human way of dealing with the AHA platforms, influencing future design, publications, related work, and research.
欧盟平台采用项目的主要目标是从软件角度研究欧盟开放和部分开放平台在积极健康老龄化(AHA)和环境辅助生活(AAL)领域的使用情况。该项目的目的是提供工具,以便对平台进行更深入的解读和审查,收集用户反馈,并利用这些反馈改进AHA和AAL领域的现有方法,同时按照推荐顺序定义增强平台的指导方针。重点是为决策者提供软件视角。在本文中,我们展示了(i)用于AHA开放平台评估的平台采用方法及其主要目标;(ii)对所分析平台的聚类;以及(iii)从所选平台的文本描述中生成的分类法。通过使用聚类工具,我们展示了哪些平台由于相似性可以归为一组。使用两种聚类方法得到了不同数量的聚类,其中最具信息性的是两个和四个聚类组。通过这种方式可以相当清晰地展示这些平台,从而有可能指导未来的平台架构设计。此外,还生成了分类法,即平台的决策树,以便轻松确定每个特定平台或找到具有所需属性的平台。总体而言,对平台的计算机理解可能是对人类处理AHA平台方式的重要补充,会影响未来的设计、出版物、相关工作和研究。