Phenotyping of heart failure with preserved ejection faction using electronic health records and echocardiography.
Morgane Pierre-JeanBenjamin MarutElizabeth CurtisElena GalliMarc CuggiaGuillaume BouzilléErwan DonalPublished in: European heart journal open (2023)
This work demonstrated that artificial intelligence-derived phenotypes could be used as a tool for physicians to assess risk and to target therapies that may improve outcomes.
Keyphrases
- artificial intelligence
- electronic health record
- heart failure
- machine learning
- big data
- left ventricular
- deep learning
- clinical decision support
- primary care
- adverse drug
- computed tomography
- high throughput
- pulmonary hypertension
- cardiac resynchronization therapy
- atrial fibrillation
- type diabetes
- acute heart failure
- metabolic syndrome