Analysis of Primary Care Computerized Medical Records (CMR) Data With Deep Autoencoders (DAE)

Analysis of Primary Care Computerized Medical Records (CMR) Data With Deep Autoencoders (DAE)

The use of deep learning is becoming increasingly important in the analysis of medical data such as pattern recognition for classification. The use of primary healthcare computational medical records (CMR) data is vital in prediction of infection prevalence across a population, and decision making a...

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Bibliographic Details
Main Authors: Spencer A. Thomas, Nadia A. Smith, Valerie Livina, Ivelina Yonova, Rebecca Webb, Simon de Lusignan
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
deep learning
primary healthcare
computerized medical records
heterogeneous data
visualization
dimensionality reduction
Online Access:https://www.frontiersin.org/article/10.3389/fams.2019.00042/full

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https://www.frontiersin.org/article/10.3389/fams.2019.00042/full

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