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                                       Details for article 28 of 55 found articles
 
 
  Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators
 
 
Title: Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators
Author: Yan, Zichun
Shi, Zhuowei
Zhu, Qiyuan
Feng, Jinzhou
Liu, Yaou
Li, Yuxin
Zhou, Fuqing
Zhuo, Zhizheng
Ding, Shuang
Wang, Xiaohua
Yin, Feiyue
Tang, Yang
Lin, Bing
Li, Yongmei
Appeared in: Academic radiology
Paging: Volume 31 () nr. 7 pages 2910-2921
Year: 2024
Contents:
Publisher: The Association of University Radiologists
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 28 of 55 found articles
 
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