基于先进ICT/AI数据科学的COVID-19环境下老年人护理支持系统及其现场试验

2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT) Pub Date : 2023-05-10 DOI:10.1109/ISMICT58261.2023.10152103

R. Kohno, C. Sugimoto, Takumi Kobayashi, Tomomi Nagasaka, Yuki Ishiguro, Shota Watanabe, Yuichi Tsutatani, Yasuo Moriyama

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引用次数: 0

摘要

在新冠肺炎大流行期间，由于护理人员数量有限，护理中心的老年人保健管理面临着难以判断是否接受中心用户患有新冠肺炎的困难。本文介绍了利用先进的ICT和AI数据科学开发的大流行期间可靠医疗保健支持系统，例如通过云网络连接无线体域网络(BAN)和数据服务器的可变生命传感器之间的集成ICT平台，以及使用复杂的机器学习算法进行基于AI数据科学的数据分析以进行判断。本文通过在医疗机构和IT服务公司赞助的实际医疗服务中心的各种现场试验来考察所开发系统的可行性。

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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Elderly People Care Support System Under COVID-19 Environment Using Advanced ICT/AI Data Science and Its Field Trials

During the pandemic due to COVID-19, healthcare management for elderly people in care centers has been facing difficulty in judgment acceptance of center users suffering from COVID-19 or not because of a limited number of caregivers in a cost-effective manner. This paper introduces a developed system for dependable healthcare support during the pandemic using advanced ICT and AI data science such as an integrated ICT platform among variable vital sensors connected with a wireless body area network(BAN) and data server via a cloud network, and data analysis for the judgement based on AI data science using a sophisticated machine learning algorithm. This paper investigates feasibility of the developed system by various field trials in practical healthcare service centers sponsored by medical organization and IT service company.

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来源期刊

2023 IEEE 17th International Symposium on Medical Information and Communication Technology (ISMICT)

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