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Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint

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 o...

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Autores principales: Gams, Matjaž, Kolar, Žiga, Vuk, Zdenko, Samuelsson, Christina, Jäger, Bernhard, Dovgan, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872435/
https://www.ncbi.nlm.nih.gov/pubmed/35207014
http://dx.doi.org/10.3390/healthcare10020401
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author Gams, Matjaž
Kolar, Žiga
Vuk, Zdenko
Samuelsson, Christina
Jäger, Bernhard
Dovgan, Erik
author_facet Gams, Matjaž
Kolar, Žiga
Vuk, Zdenko
Samuelsson, Christina
Jäger, Bernhard
Dovgan, Erik
author_sort Gams, Matjaž
collection PubMed
description 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.
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spelling pubmed-88724352022-02-25 Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint Gams, Matjaž Kolar, Žiga Vuk, Zdenko Samuelsson, Christina Jäger, Bernhard Dovgan, Erik Healthcare (Basel) Article 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. MDPI 2022-02-21 /pmc/articles/PMC8872435/ /pubmed/35207014 http://dx.doi.org/10.3390/healthcare10020401 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gams, Matjaž
Kolar, Žiga
Vuk, Zdenko
Samuelsson, Christina
Jäger, Bernhard
Dovgan, Erik
Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint
title Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint
title_full Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint
title_fullStr Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint
title_full_unstemmed Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint
title_short Similarities and Differences between EU Platforms in the AHA and AAL Domains from a Software Viewpoint
title_sort similarities and differences between eu platforms in the aha and aal domains from a software viewpoint
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872435/
https://www.ncbi.nlm.nih.gov/pubmed/35207014
http://dx.doi.org/10.3390/healthcare10020401
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