使用机器学习的病人监护系统应用

IF 1 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Communication Networks and Distributed Systems Pub Date : 2019-06-05 DOI:10.30534/ijns/2019/05832019
S. Sherin
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引用次数: 1

摘要

通常在危重病例中,应该对患者的身体信息和健康状况进行持续监测。在早期的方法中,患者的病史不能显示,旁观者也急切地等待很长时间,以了解处于危急情况的患者的情况。在本文中,我们倾向于采用一种新颖的计划来测量连续观察患者的健康状况。该医疗方案的重点是使用无线身体传感器和Android应用程序测量和监测患者身体的各种生物参数,如心率,血液中的氧饱和度和温度,并且在出院后,医生可以通过该应用程序确定患者的健康状况,从而帮助患者保持警惕。医生可以在任何需要的时候从任何地方访问数据,并且不需要身体上的天赋。
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Patient Monitoring System Application Using Machine Learning
Generally in critical case-patients are supposed to be monitored continuously for their physical information as well as their health conditions. In the earlier methods the history of patients cannot be displayed, also bystanders are eagerly waiting long periods to know the condition of patients who are in critical situation. In the current paper, we tend to square measure employing a novel plan for continuous observance patients health condition. The healthcare scheme is focus on the measurement and monitoring various biological parameters of patients body like heart rate, oxygen saturation level in blood and temperature using a wireless body sensor and Android application and also after discharging the health status of the patients can be determined by the doctors through this application this help the patient to be alert. Doctors will access the data whenever required from any place and want not physically gifted.
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来源期刊
CiteScore
2.50
自引率
46.20%
发文量
57
期刊介绍: IJCNDS aims to improve the state-of-the-art of worldwide research in communication networks and distributed systems and to address the various methodologies, tools, techniques, algorithms and results. It is not limited to networking issues in telecommunications; network problems in other application domains such as biological networks, social networks, and chemical networks will also be considered. This feature helps in promoting interdisciplinary research in these areas.
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