A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes

A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured clinical notes

Abstract Background Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that is classified into stages based on disease severity. We aimed to characterize the time to progression prior to death in patients with COPD and to generate a temporal visualization that describes signs...

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Bibliographic Details
Main Authors: Chunlei Tang, Joseph M. Plasek, Haohan Zhang, Min-Jeoung Kang, Haokai Sheng, Yun Xiong, David W. Bates, Li Zhou
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
“pulmonary disease
chronic obstructive,”
neural networks (computer)
Disease progression
Data science
Online Access:https://doi.org/10.1186/s12911-019-0984-8

Internet

https://doi.org/10.1186/s12911-019-0984-8

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