物联网和大数据分析在医疗保健疾病预测中的作用

Yasmeen Shaikh, V. Parvati, S. R. Biradar
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引用次数: 2

摘要

人们忙碌的生活周期及其对健康的影响是当今令人担忧的主要问题之一。这种忙碌的生活周期使人们忽视了自己的健康。在印度,许多人生活在贫困线以下,甚至大多数人口都住在农村地区,医疗费用太高。在这种情况下,人们不可能负担得起昂贵的医疗费用。我们看到人们在最后一小时被送进医院,被迫遵循传统的医疗做法,失去生命。为了解决这个问题,我们需要一个远程健康监测系统,它可以提醒人们他们的健康状况,人们可以远程进行医疗诊断。在本文中,我们讨论了物联网和大数据分析在医疗保健领域所扮演的角色。我们还讨论了这些技术的好处、挑战和应用。我们提出了一个使用物联网监测患者心脏状况的系统,如果观察到任何异常,该系统会向患者或医生发出警报。该系统可以进一步扩展,提供实时健康监测,使用大数据和ml分析来预测各种疾病。
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Role of IoT and Bigdata Analytics in Healthcare for Disease Prediction
One of the major issues to worry nowadays is the busy life cycle people follow and the effect they have on the health. This busy life cycle has made people to neglect their health. In India many people are below poverty line and even majority of population stays in rural places and cost of medical treatment is too high. Under these situations, it is not feasible for people to afford costly medical treatment. We have seen people being admitted to hospitals at the last hour and being forced to follow traditional medical practices and lose their lives. To address this issue, we need a remote health monitoring system that could alert people about their health condition and people can get medical diagnosis done remotely. In this paper, we discuss, the role played by IoT and bigdata analytics in the field of healthcare. We also discuss the benefits, challenges and applications of these technologies. We propose a system to monitor heart condition of a patient using IoT which alerts the patient or doctor if any abnormality is observed. This system could further be scaled to provide real time health monitoring to predict various diseases using bigdata and ml analytics.
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