使用物联网的远程健康监测系统

Sarthak Gupta, Divyansh Dahiya, G. Raj
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引用次数: 7

摘要

今天,正如我们所看到的,尽管我们做出了各种努力,这个国家的人口仍在以非常快的速度增长。为不断增长的人口提供的医院和医疗服务非常少。我国仍有许多地区没有适当的医疗帮助。但是,在过去的几年里,数据服务提供商的数量大幅增加,为物联网提供了巨大的支持。因此,在物联网技术的支持下,偏远和农村地区也可以获得适当的卫生服务。在大多数关于该主题的研究中,存在许多漏洞,例如没有实现机器学习,传感器在网络上不安全等。本文解决了其中的一些问题,并给出了系统的结果输出。此外,本文提出了一个基于机器学习与当前系统集成的模型,以预测患者或该偏远地区的未来疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remote Health Monitoring System Using IoT
Today as we can see the population of the country is increasing at a very fast rate, despite our various efforts. The hospitals and medical services available for the rising population is very low. There are still many areas in our country which do not have proper medical help available. But, during these past years, there has been a huge rise in the data service providers, which has provided a huge support for Internet of Things. Hence from the support of the IoT technology, remote and rural areas can also be provided with proper health services. In most of the researches which are done on the topic, there are many loopholes like, no machine learning is implemented, sensors are not secured over the network, etc. Some of these issues have been addressed in this paper with results output of the system. Further, the paper proposes a model based on the integration of machine learning with the current system to predict future diseases in the patient or that remote area.
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