开始时间: 04/22/2022 持续时间: Unknown
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所在平台: CourseraArchive 课程类别: 医学 大学或机构: Georgia Institute of Technology(佐治亚理工学院) 授课老师： Jimeng Sun |
课程主页: https://www.coursera.org/course/bigdataanalytics
课程评论：没有评论
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
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
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
