SURVEY ON ACCURACY OF PREDICTIVE BIG DATA ANALYTICS IN HEALTHCARE

S. Smys
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引用次数: 17

Abstract

The failures in the most of research area, identified that the lack of details about the actionable and the valuable data that conceived actual solutions were the core of the crisis, this was very true in case of the health care industry where even the early diagnoses of a chronic disease could not save a person’s life. This because of the impossibility in the prediction of the individual’s outcomes in the entire population. The evolving new technologies have changed this scenario leveraging the mobile devices and the internet services such as the sensor network and the smart monitors, enhancing the practical healthcare using the predictive modeling acquiring a deeper individual measures. This affords the researches to go through the huge set of data and identify the patterns along with the trends and delivering solutions improvising the medical care, minimizing the cost and he regulating the health admittance, ensuring the safety of human lives. The paper provides the survey on the predictive big data analysis and accuracy it provides in the health care system.
医疗行业预测性大数据分析准确性调查
在大多数研究领域的失败,确定了缺乏可操作的细节和构思实际解决方案的有价值的数据是危机的核心,这是非常真实的,在医疗保健行业的情况下,即使是慢性疾病的早期诊断也不能挽救一个人的生命。这是因为不可能预测个人在整个群体中的结果。不断发展的新技术已经改变了这种情况,利用移动设备和互联网服务(如传感器网络和智能监视器),通过获得更深入的个人测量的预测建模来增强实际医疗保健。这使得研究人员可以通过大量的数据来识别模式和趋势,并提供解决方案,以改善医疗保健,最大限度地降低成本,规范健康准入,确保人类生命安全。本文对其在医疗卫生系统中的预测性大数据分析及其准确性进行了调查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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