A comprehensive review on usage of Internet of Things (IoT) in healthcare system

机译：物联网（IoT）在医疗保健系统中的使用的全面综述

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Prediction of Chronic Disorders in early stage is very vital. IoT facilitated remote health monitoring system has enormous benefits over customary health monitoring system. It is imperative to accumulate correct raw data in an efficient way; but more significant is to explore and mine the raw data to abstract more valued information such as correlations amongst things and services to afford web of things or Internet of services. In this Paper we have addressed the use of IoT in Healthcare system, challenges of IoT in Healthcare System and review on various works carried out on this research area with which a proposed methodology is been discussed.

机译：早期对慢性疾病的预测非常重要。物联网促进的远程健康监控系统比常规的健康监控系统具有巨大的优势。必须有效地积累正确的原始数据。但更重要的是探索和挖掘原始数据，以提取更有价值的信息，例如物与服务之间的关联，以提供物联网或服务互联网。在本文中，我们解决了物联网在医疗保健系统中的使用，物联网在医疗保健系统中的挑战，并回顾了在该研究领域开展的各种工作，并讨论了所提出的方法论。

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《International Conference on Emerging Research in Electronics, Computer Science and Technology》|2015年|132-136|共5页
会议地点 Mandya(IN)
作者
Darshan K R; Anandakumar K R;
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作者单位

Department of Computer Science Engineering SJBIT Bengaluru Visvesvaraya Technological University Belagavi Karnataka India;

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会议组织
原文格式 PDF
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关键词
Chronic Disorders; Healthcare System; IoT;

机译：慢性疾病健康医疗体系;物联网;

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机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常

A comprehensive review on usage of Internet of Things (IoT) in healthcare system

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