Novel methodology for the evaluation of symptoms reported by patients with newly diagnosed atrial fibrillation: application of natural language processing to electronic medical records data.
Matthew R ReynoldsThomas Jared BunchBenjamin Adam SteinbergChristopher J RonkHankyul KimMattias WielochGregory Yoke Hong LipPublished in: Journal of cardiovascular electrophysiology (2022)
This study illustrates that NLP can be applied to EMR data to characterize symptom reports in patients with incident AF, and the potential for these methods to inform comparative effectiveness. This article is protected by copyright. All rights reserved.
Keyphrases
- atrial fibrillation
- newly diagnosed
- electronic health record
- big data
- cardiovascular disease
- autism spectrum disorder
- heart failure
- left atrial
- catheter ablation
- left atrial appendage
- percutaneous coronary intervention
- type diabetes
- emergency department
- coronary artery disease
- depressive symptoms
- adverse drug
- physical activity
- venous thromboembolism
- deep learning