A big data approach for proactive healthcare monitoring of chronic patients

A. Naseer, Basem Y. Alkazemi, Ehsan U. Waraich
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引用次数: 11

Abstract

With the advancement of human life, there is big increase in chronic diseases especially in heart diseases. This increase is due to environmental pollution, lack of exercise, eating habits and closed environments. We propose a proactive health monitoring system for cardiac patients. This system consists of electronic bands wear by the patients to collect the real-time health status and an e-health system to process the collected data. The e-health system is a complete big data framework that will be develop to solve major healthcare problems. This system will provide a proactive measure to all the patients suffering from heart diseases like Ischemic heart disease or Hypertensive heart disease. The system will monitor the patient health continuously from electronic band and generates alerts to patients and doctor accordingly. This system will also provide a guidance to patients in case of abnormal health readings. The framework of e-health will follow the best practices of software engineering, healthcare and big data. This system will help patients to take proactive measure against any with the advancement of human life, there is big increase in chronic diseases especially in heart diseases. This increase is due to environmental pollution, lack of exercise, eating habits and closed environments. We propose a proactive health monitoring system for cardiac patients. This system consists of electronic bands wear by the patients to collect the real-time health status and an e-health system to process the collected data. The e-health system is a complete big data framework that will be develop to solve major healthcare problems. This system will provide a proactive measure to all the patients suffering from heart diseases like Ischemic heart disease or Hypertensive heart disease. The system will monitor the patient health continuously from electronic band and generates alerts to patients and doctor accordingly. This system will also provide a guidance to patients in case of abnormal health readings. The framework of e-health will follow the best practices of software engineering, healthcare and big data. This system will help patients to take proactive measure against any abnormal behavior in their health and also help doctors to monitor the patient health continuously. This development will enhance the quality of life of patients as well as increase the performance of doctors and healthcare providers.abnormal behavior in their health and also help doctors to monitor the patient health continuously. This development will enhance the quality of life of patients as well as increase the performance of doctors and healthcare providers.
用于慢性病患者主动医疗监测的大数据方法
随着人类生活水平的提高,慢性病特别是心脏病的发病率大幅上升。这种增长是由于环境污染、缺乏锻炼、饮食习惯和封闭的环境。我们提出一种针对心脏病患者的主动健康监测系统。该系统由患者佩戴电子腕带采集实时健康状况和电子健康系统处理采集数据组成。电子卫生系统是一个完整的大数据框架,将用于解决重大卫生保健问题。该系统将为所有患有缺血性心脏病或高血压心脏病等心脏病的患者提供积极的措施。该系统将通过电子腕带持续监测患者的健康状况,并向患者和医生发出相应的警报。该系统还将在健康读数异常的情况下为患者提供指导。电子医疗框架将遵循软件工程、医疗保健和大数据的最佳实践。随着人类生活水平的提高,慢性疾病特别是心脏病的发病率大幅上升,该系统将帮助患者采取积极的措施。这种增长是由于环境污染、缺乏锻炼、饮食习惯和封闭的环境。我们提出一种针对心脏病患者的主动健康监测系统。该系统由患者佩戴电子腕带采集实时健康状况和电子健康系统处理采集数据组成。电子卫生系统是一个完整的大数据框架,将用于解决重大卫生保健问题。该系统将为所有患有缺血性心脏病或高血压心脏病等心脏病的患者提供积极的措施。该系统将通过电子腕带持续监测患者的健康状况,并向患者和医生发出相应的警报。该系统还将在健康读数异常的情况下为患者提供指导。电子医疗框架将遵循软件工程、医疗保健和大数据的最佳实践。该系统可以帮助患者对自己健康中的异常行为采取主动措施,也可以帮助医生持续监测患者的健康状况。这一发展将提高患者的生活质量,并提高医生和医疗保健提供者的绩效。异常行为对其健康状况的影响也有助于医生对患者健康状况的持续监测。这一发展将提高患者的生活质量,并提高医生和医疗保健提供者的绩效。
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