利用大数据分析增强医疗保健：趋势、挑战和机遇
Leveraging Big Data Analytics in Healthcare Enhancement: Trends, Challenges and Opportunities
摘要：
临床医生的决策正变得越来越基于证据，这在其他领域都没有意义，大数据分析在医疗保健领域如此有前途。由于医疗数据的庞大规模和可用性，大数据分析已经彻底改变了这个行业，并为我们带来了一个充满机遇的世界。它向我们承诺早期发现，预测，预防的力量，并帮助我们提高生活质量。研究人员和临床医生正在努力阻止大数据在未来对健康产生积极影响。不同的工具和技术被用来分析，处理，积累，吸收和管理大量的医疗数据，无论是结构化或非结构化的形式。在本文中，我们想解决医疗保健中对大数据分析的需求：为什么以及如何帮助改善生活？我们介绍了医疗保健五个子学科中的大数据和分析技术的新兴景观，即医学图像分析和成像信息学，生物信息学，临床信息学，公共卫生信息学和医学信号分析。我们介绍了每个学科的不同架构、优势和存储库，这些学科综合描述了不同的医疗保健活动是如何在管道中完成的，以从多个角度为个体患者提供便利。最后，本文以在医疗保健中采用大数据分析的显着应用和挑战结束。
英文摘要：
Clinicians decisions are becoming more and more evidence-based meaning in no other field the big data analytics so promising as in healthcare. Due to the sheer size and availability of healthcare data, big data analytics has revolutionized this industry and promises us a world of opportunities. It promises us the power of early detection, prediction, prevention and helps us to improve the quality of life. Researchers and clinicians are working to inhibit big data from having a positive impact on health in the future. Different tools and techniques are being used to analyze, process, accumulate, assimilate and manage large amount of healthcare data either in structured or unstructured form. In this paper, we would like to address the need of big data analytics in healthcare: why and how can it help to improve life?. We present the emerging landscape of big data and analytical techniques in the five sub-disciplines of healthcare i.e.medical image analysis and imaging informatics, bioinformatics, clinical informatics, public health informatics and medical signal analytics. We presents different architectures, advantages and repositories of each discipline that draws an integrated depiction of how distinct healthcare activities are accomplished in the pipeline to facilitate individual patients from multiple perspectives. Finally the paper ends with the notable applications and challenges in adoption of big data analytics in healthcare.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
