PERS：基于生命体征的个性化环境推荐系统

IF 5 3区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Egyptian Informatics Journal Pub Date : 2024-12-01 DOI:10.1016/j.eij.2024.100580

A. Pravin Renold

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引用次数: 0

摘要

物联网（IoT）在医疗保健中的整合促进了对生命体征和环境条件的实时监测。然而，现有的系统往往缺乏考虑这些因素之间相互作用的个性化建议。这项工作介绍了个性化环境推荐系统（PERS），该系统利用便携式设备持续收集关键健康指标的数据，包括脉搏率和体温，以及环境参数。PERS利用人工神经网络分析数据，为用户提供量身定制的健康建议。实验结果表明，准确率为98.7%，突出了该系统在加强患者护理和支持知情健康决策方面的有效性。研究结果表明，PERS可以根据个人健康状况和环境背景提供可操作的见解，从而显著改善健康监测。

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PERS: Personalized environment recommendation system based on vital signs

The integration of the Internet of Things (IoT) in healthcare has facilitated real-time monitoring of vital signs and environmental conditions. However, existing systems often lack personalized recommendations that consider the interplay between these factors. This work introduces the Personalized Environment Recommendation System (PERS), which leverages a portable device to continuously collect data on key health metrics, including pulse rate and body temperature, alongside environmental parameters. Utilizing Artificial Neural Networks, PERS analyzes the data to generate tailored health recommendations for users. Experimental results demonstrate an accuracy of 98.7%, highlighting the system’s effectiveness in enhancing patient care and supporting informed health decisions. The findings suggest that PERS can significantly improve health monitoring by providing actionable insights based on individual health profiles and environmental contexts.

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来源期刊

Egyptian Informatics Journal Decision Sciences-Management Science and Operations Research

CiteScore

11.10

自引率

1.90%

发文量

审稿时长

110 days

期刊介绍： The Egyptian Informatics Journal is published by the Faculty of Computers and Artificial Intelligence, Cairo University. This Journal provides a forum for the state-of-the-art research and development in the fields of computing, including computer sciences, information technologies, information systems, operations research and decision support. Innovative and not-previously-published work in subjects covered by the Journal is encouraged to be submitted, whether from academic, research or commercial sources.