An Intelligent Tracking System: Application to Acute Respiratory Tract Infection (TrackARTI)

Duygu Çelik Ertugrul, Atilla Elçi, Y. Bi̇ti̇ri̇m
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引用次数: 4

Abstract

This article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (TrackARTI) via a smart mobile for monitoring disease term of 0-6 age group child patients remotely (e.g. home, clinics). It is possible to maximize the quality of life of the child patients and decrease parental anxiety by keeping the child under control during monitoring stage and achieve a proper distant diagnose by the patient's clinician. This is possible with the designs of intelligent M-Health systems that can be used for diagnosing and monitoring the child patients away from hospitals by presenting the instant medical data to their registered doctors. Intelligent M-Health systems require strong knowledge management technology and ease of extension to provide information from additional medical tools. With the contribution of intelligent M-Health systems, it is possible to infer new facts from the certain gathered medical data during examination from child patients. This article mentions an intelligent and easy medical data gathering system that can be used by pediatricians or parents any time. In addition, the system has its own inferencing mechanism that involves two main steps, inferencing on image processing and Semantic Web rule knowledge base.
智能跟踪系统在急性呼吸道感染中的应用
本文提出了一种基于智能手机的急性呼吸道感染智能跟踪系统(TrackARTI),用于远程监测0-6岁儿童患者的病情(如家庭、诊所)。通过在监测阶段对患儿进行控制,并由患者的临床医生进行适当的远程诊断,可以最大限度地提高患儿的生活质量,减少家长的焦虑。这可以通过智能移动医疗系统的设计实现,该系统可以通过向注册医生提供即时医疗数据来诊断和监测儿童患者。智能移动保健系统需要强大的知识管理技术和易于扩展,以便从其他医疗工具提供信息。借助智能移动医疗系统的贡献,可以从儿童患者检查期间收集的某些医疗数据中推断出新的事实。本文介绍了一种儿科医生或家长可随时使用的智能简易医疗数据采集系统。此外,该系统还具有自己的推理机制,主要包括图像处理推理和语义Web规则知识库推理两个步骤。
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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