Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity
Background: Lack of easy-to-interpret disease activity prediction methods in early MS can lead to worse patient prognosis. Objectives: Using machine learning (multiple kernel learning – MKL) models, we assessed the prognostic value of various clinical and MRI measures for disease activity. Methods:...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publications Inc.
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |