Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity.
Claudia ChienMoritz SeilerFabian EitelTanja Schmitz-HübschFriedemann PaulKerstin RitterPublished in: Multiple sclerosis journal - experimental, translational and clinical (2022)
MRIs contain valuable information on future disease activity, especially in and around the LV. MKL techniques for combining different data types can be used for the prediction of disease activity in a relatively small MS cohort.
Keyphrases
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- rheumatoid arthritis patients
- ankylosing spondylitis
- juvenile idiopathic arthritis
- mass spectrometry
- end stage renal disease
- multiple sclerosis
- ms ms
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- pulmonary hypertension
- gene expression
- healthcare
- high intensity
- electronic health record
- dna methylation
- health information
- big data
- patient reported outcomes
- congenital heart disease
- patient reported