Development of a Machine Learning Model to Predict the Use of Surgery in Patients With Rheumatoid Arthritis.
Natalie B BaxterChing-Heng LinBeth I WallaceJung-Sheng ChenChang Fu KuoKevin C ChungPublished in: Arthritis care & research (2023)
Predictive models using clinical data have the potential to facilitate identification of patients who may undergo rheumatoid-related surgery, but not what type of procedure they will need. Integrating similar models into practice has the potential to improve surgical planning.
Keyphrases
- minimally invasive
- machine learning
- coronary artery bypass
- healthcare
- surgical site infection
- big data
- primary care
- electronic health record
- artificial intelligence
- percutaneous coronary intervention
- coronary artery disease
- systemic lupus erythematosus
- deep learning
- bioinformatics analysis
- drug induced
- disease activity