Big Data Analytics for Healthcare
link 来源:www.coursera.org
assignment 等级:入门
chat_bubble_outline 语言:英语
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We introduce the characteristics and related analytic challenges on dealing with clinical data from electronic health records. Many of those insights come from medical informatics community and data mining/machine learning community. There are three thrusts in this course: Application, Algorithm and System

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课程大纲

Large amounts of heterogeneous medical data have become available in various healthcare organizations (payers, providers, pharmaceuticals). Those data could be an enabling resource for deriving insights for improving care delivery and reducing waste. The enormity and complexity of these datasets present great challenges in analyses and subsequent applications to a practical clinical environment. In this course, we introduce the characteristics and related analytic challenges on dealing with clinical data from electronic health records. Many of those insights come from medical informatics community and data mining/machine learning community. There are three thrusts in this course: Application, Algorithm and System
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教师

  • Jimeng Sun - School of Computational Science and Engineering | College of Computing
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内容设计师

Georgia Institute of Technology

佐治亚理工学院(Georgia Institute of Technology),又称佐治亚理工学院或 GT,是一所位于美国佐治亚州亚特兰大市的男女同校公立研究型大学。它是佐治亚大学系统网络的一部分。佐治亚理工学院在萨凡纳(美国佐治亚州)、梅斯(法国)、阿斯隆(爱尔兰)、上海(中国)和新加坡设有办事处。

佐治亚理工学院的工程和计算机科学课程在世界上名列前茅5,6 ,声誉卓著。此外,佐治亚理工学院还开设了科学、建筑、人文和管理课程。

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平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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