Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps

Data-Driven Visual Characterization of Patient Health-Status Using Electronic Health Records and Self-Organizing Maps

Hypertension and diabetes have become a global health and economic issue, being among the major chronic conditions worldwide, particularly in developed countries. To face this global problem, a better knowledge about these diseases becomes crucial to characterize chronic patients. Our aim is two-fol...

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Bibliographic Details
Main Authors: David Chushig-Muzo, Cristina Soguero-Ruiz, A. P. Engelbrecht, Pablo De Miguel Bohoyo, Inmaculada Mora-Jimenez
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Electronic health records
machine learning
self organizing maps
clustering
data visualization
chronic conditions
Online Access:https://ieeexplore.ieee.org/document/9148604/

Internet

https://ieeexplore.ieee.org/document/9148604/

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