Brain predictors of fatigue in rheumatoid arthritis: A machine learning study.
María GoñiNeil BasuAlison D MurrayGordon D WaiterPublished in: PloS one (2022)
The results presented evidence a superiority of brain metrics over clinical metrics in predicting fatigue changes. Further exploration of these methods may support clinicians to triage patients towards the most appropriate fatigue alleviating therapies.
Keyphrases
- machine learning
- rheumatoid arthritis
- end stage renal disease
- sleep quality
- resting state
- emergency department
- white matter
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- functional connectivity
- cerebral ischemia
- artificial intelligence
- multiple sclerosis
- depressive symptoms
- systemic lupus erythematosus
- disease activity
- big data