搜搜做题作业网英语翻译In the era of big data,we need novel algorithms on top o
来源：学生作业帮 编辑：搜搜做题作业网作业帮 分类：英语作业 时间：2024/07/22 15:39:18
英语翻译
In the era of big data,we need novel algorithms on top of the supporting platform.In this talk,I will first discuss some key aspects of big data algorithms in general.Then,I will talk about our recent medical big data project as a case study.Early detection of clinical deterioration is essential to improving clinical outcome.In this project,we develop new algorithms for clinical early warning by mining massive clinical records in hospital databases.The research focuses on the large population of patients in the general hospital wards,who are not in the intensive care units and suffer from infrequent monitoring.I will discuss the challenges this big data application poses to traditional machine learning and data mining algorithms,our recent progress,and the lessons we learnt.Promising results on real-life clinical trials at the Barnes-Jewish Hospital (the eighth largest hospital in the United States) will be discussed.
In the era of big data,we need novel algorithms on top of the supporting platform.In this talk,I will first discuss some key aspects of big data algorithms in general.Then,I will talk about our recent medical big data project as a case study.Early detection of clinical deterioration is essential to improving clinical outcome.In this project,we develop new algorithms for clinical early warning by mining massive clinical records in hospital databases.The research focuses on the large population of patients in the general hospital wards,who are not in the intensive care units and suffer from infrequent monitoring.I will discuss the challenges this big data application poses to traditional machine learning and data mining algorithms,our recent progress,and the lessons we learnt.Promising results on real-life clinical trials at the Barnes-Jewish Hospital (the eighth largest hospital in the United States) will be discussed.
在大数据时代,我们需要新的算法上的支撑平台.在这次谈话中,我将首先讨论一般的大数据算法的一些关键方面.然后,我将讨论我们最近的医学大数据项目作为一个案例研究.临床恶化的早期检测是提高临床疗效的关键.在这个项目中,我们开发了新的算法,住院数据库的挖掘大量的临床病历的临床预警.本研究在综合性医院病房患者人口众多,谁不是在重症监护病房和患有罕见的监测.我将讨论挑战这个大数据的应用对传统的机器学习和数据挖掘算法,我们最近的进展,我们学到的教训.在巴尼斯犹太医院在现实生活中的有前途的临床试验结果（美国最大的第八家医院）将被讨论.
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