Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records

Visual Analytics for Dimension Reduction and Cluster Analysis of High Dimensional Electronic Health Records

Recent advancement in EHR-based (Electronic Health Record) systems has resulted in producing data at an unprecedented rate. The complex, growing, and high-dimensional data available in EHRs creates great opportunities for machine learning techniques such as clustering. Cluster analysis often require...

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Bibliographic Details
Main Authors: Sheikh S. Abdullah, Neda Rostamzadeh, Kamran Sedig, Amit X. Garg, Eric McArthur
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Informatics
Subjects:
visual analytics
dimension reduction
cluster analysis
electronic health records
high-dimensional data
interactive visualization
Online Access:https://www.mdpi.com/2227-9709/7/2/17

Internet

https://www.mdpi.com/2227-9709/7/2/17

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