Supervised Machine Learning Models for Multiple Sclerosis Relapse Probability Prognosis using Clinical Data
Author:
Affiliation:
1. Tarbiat Modares University,Department of Information Technology,Tehran,Iran
2. University of Tehran,Department of Management and Accounting,Tehran,Iran
3. Shahid Beheshti University of Medical Sciences,Department of Neurology,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10138905/10138951/10139225.pdf?arnumber=10139225
Reference27 articles.
1. A systematic review of the application of machine-learning algorithms in multiple sclerosis
2. A Structural Causal Model for MR Images of Multiple Sclerosis
3. Predicting disease activity in patients with multiple sclerosis: An explainable machine‐learning approach in the Mavenclad trials
4. New drugs for multiple sclerosis: new treatment algorithms
5. New MS lesion segmentation with deep residual attention gate U-Net utilizing 2D slices of 3D MR images
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