Automated Identification of Aspirin-Exacerbated Respiratory Disease Using Natural Language Processing and Machine Learning: Algorithm Development and Evaluation Study.
Thanai PongdeeNicholas B LarsonRohit DivekarSuzette J BielinskiHongfang LiuSungrim MoonPublished in: JMIR AI (2023)
We developed a promising AERD algorithm that needs further refinement to improve AERD diagnosis. Continued development of NLP and ML technologies has the potential to reduce diagnostic delays for AERD and improve the health of our patients.
Keyphrases
- machine learning
- deep learning
- end stage renal disease
- artificial intelligence
- ejection fraction
- public health
- healthcare
- low dose
- big data
- prognostic factors
- mental health
- autism spectrum disorder
- cardiovascular events
- coronary artery disease
- cardiovascular disease
- patient reported outcomes
- acute coronary syndrome
- atrial fibrillation
- neural network