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.
Keyphrases
- atrial fibrillation
- newly diagnosed
- electronic health record
- big data
- cardiovascular disease
- heart failure
- oral anticoagulants
- autism spectrum disorder
- catheter ablation
- direct oral anticoagulants
- emergency department
- type diabetes
- data analysis
- machine learning
- coronary artery disease
- acute coronary syndrome
- physical activity
- mitral valve
- drug induced