Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record's Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study.
Peter L ElkinSarah MullinJack MardekianChristopher CrownerSylvester SakilayShyamashree SinhaGary BradyMarcia WrightKimberly NolenJoAnn TrainerRoss KoppelDaniel SchlegelSashank KaushikJane ZhaoBuer SongEdwin AnandPublished in: Journal of medical Internet research (2021)
Artificial intelligence-informed bio-surveillance combining NLP of free-text information with structured EHR data improves data completeness, prevents thousands of strokes, and saves lives and funds. This method is applicable to many disorders with profound public health consequences.
Keyphrases
- artificial intelligence
- electronic health record
- big data
- public health
- machine learning
- atrial fibrillation
- deep learning
- clinical decision support
- adverse drug
- heart failure
- smoking cessation
- left atrial appendage
- healthcare
- direct oral anticoagulants
- oral anticoagulants
- percutaneous coronary intervention
- catheter ablation
- intellectual disability
- acute coronary syndrome
- coronary artery disease
- mouse model
- venous thromboembolism
- global health