利用数据分析改变健康相关行为

R. Ranjan, S. Bhargav
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引用次数: 0

摘要

本文强调数据分析是一个广义的术语,它概括了临床医疗保健中处理大型结构化和非结构化数据的问题。本文探讨了数据分析在改变健康行为(CHB)方面的潜力,特别是在青年生物医学和福祉信息学方面,它描绘了大数据的基本属性,并描绘了恢复性和福祉信息学之间的关系。翻译生物信息学,传感器信息学和临床诊断帮助一个人在他们的健康和繁荣的有效管理。数据分析具有利用诊断信息的潜力,不仅可以在很大程度上消除发病率,还可以降低治疗和/或临床诊断、干预和管理的费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Changing Health-Related Behaviour Leveraging Data Analytics
This paper accentuates Data Analytics as a broad term that encapsulates the issues in processing of a large structured and unstructured data in clinical healthcare. The paper explores the potential of Data Analytics in Changing Health Behavior (CHB), especially amongst the youth with regard to biomedical and well-being informatics, which plots the essential attributes of Big Data and delineates the relations among restorative and well-being informatics. The translational bio-informatics, sensor informatics and clinical diagnosis help a person in effective management of their wellness and prosperity. Data Analytics has the potential to harness diagnostic information not only to obviate morbidity to a great extent, but also bring down the expenses on therapeutic and/or clinical diagnosis, intervention and management.
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