Prediction of short-term atrial fibrillation risk using primary care electronic health records.
Ramesh NadarajahJianhua WuDavid HoggKeerthenan RaveendraYoko M NakaoKazuhiro NakaoRonen ArbelMoti HaimDoron ZahgerJohn ParryChristopher BatesCampbel CowanChris P GalePublished in: Heart (British Cardiac Society) (2023)
FIND-AF, a machine learning algorithm applicable at scale in routinely collected primary care data, identifies people at higher risk of short-term AF.
Keyphrases
- electronic health record
- primary care
- atrial fibrillation
- machine learning
- clinical decision support
- oral anticoagulants
- left atrial
- catheter ablation
- left atrial appendage
- adverse drug
- big data
- general practice
- direct oral anticoagulants
- heart failure
- deep learning
- percutaneous coronary intervention
- genome wide
- acute coronary syndrome
- left ventricular
- breast cancer risk