基于用户语言隐藏需求动态提取的可持续医疗服务设计

2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS) Pub Date : 2020-05-01 DOI:10.1109/ECBIOS50299.2020.9203723

Sadayo Hirata

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引用次数: 0

摘要

本研究的目的是从用户中提取隐藏的医疗需求，作为设计新的智能医疗服务的试验。我们以提供精油作为医疗保健服务的一个例子，因为精油是一种替代药物，众所周知具有市场潜力。作为研究方法，我们收集用户的自由描述词，并使用文本挖掘进行分析。提取了用户对医疗目的、地点和时间的感知等识别特征。此外，还发现在认识方面存在性别差距。在分析结果的基础上，导出了设计新服务的几个概念。在互联网上实现本研究的过程，并由用户积累信息，可以动态设计与医疗保健相关的各种概念。这种智能医疗服务有望在不断变化的环境中提供适合用户和企业情况的可持续服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Designing Sustainable Healthcare Service Based on Dynamic Extraction of Requirements Hidden from User's Language

The purpose of this study is to extract hidden healthcare requirements from users as a trial to design a new smart healthcare service. We took providing essential oils as one example of healthcare services as the oils are one of alternative medicines and well known having market potential. As the research method, we collected freely described words by users and analyzed using text mining. Features of recognitions such as perceptions about the purpose, location and time of health care for users were extracted. Furthermore, gender gaps in the recognitions were found. Based on the analysis results, several concepts for designing a new service were derived. Implementing the process of this research on the Internet and accumulating information by users enables various concepts related to healthcare to be dynamically designed. This smart healthcare service is expected to provide a sustainable service that is suitable to the situation of users and companies in the changing environment.

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2020 IEEE 2nd Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)

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