A temporal visualization of chronic obstructive pulmonary disease progression using deep learning and unstructured
Chunlei Tang1,2, Joseph M Plasek1, Haohan Zhang3,4
1Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA.
BMC Medical Informatics and Decision Making
|December 18, 2019
Summary
This study visualizes chronic obstructive pulmonary disease (COPD) progression using deep learning on clinical notes. The COPD atlas accurately maps disease signs and symptoms over time before death.
Area of Science:
- Pulmonary Medicine
- Artificial Intelligence
- Data Visualization
Background:
- Chronic obstructive pulmonary disease (COPD) is a progressive lung condition with distinct stages.
- Understanding COPD progression is crucial for patient management.
- Characterizing the timeline of symptoms before death aids in palliative care.
Purpose of the Study:
- To characterize the time to progression in patients with chronic obstructive pulmonary disease (COPD) before death.
- To generate a temporal visualization of COPD progression, detailing signs and symptoms across disease stages.
- To develop an interpretable and accurate method for visualizing disease progression from clinical notes.
Main Methods:
- A two-step approach was used to visualize COPD progression from unstructured clinical notes.
- A four-layer deep learning model with a recurrent neural network captured irregular time-lapse segments.
- A temporal visualization, the COPD atlas, was created using theme words from latent Dirichlet allocation and representative sentences.
Main Results:
- The proposed deep learning approach demonstrated improved interpretability compared to baseline methods.
- The accuracy of estimating COPD progression was enhanced by the novel approach.
- The COPD atlas effectively visualized disease progression using extracted clinical information.
Conclusions:
- The deep-learning approach is feasible for analyzing temporal variations in COPD progression.
- This method can generate graphical representations of disease progression from clinical notes.
- The COPD atlas provides a valuable tool for understanding the trajectory of COPD.
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