Multiple Sclerosis disease states as identified by unsupervised machine learning on multimodal longitudinal patient trajectories

被引：0
|
作者：
Ganjgahi, H. [1 ]
Haring, D. A. [2 ]
Graham, G. [2 ]
Sun, Y. [3 ]
Gardiner, S. [3 ]
Su, W. [4 ]
Kieseier, B. C. [2 ]
Nichols, T. E. [3 ]
Arnold, D. L. [5 ]
Bermel, R. A. [6 ]
Wiendl, H. [7 ]
Holmes, C. C. [8 ]
机构：
[1] Univ Oxford, Dept Stat, Oxford, England
[2] Novartis Pharma AG, Basel, Switzerland
[3] Univ Oxford, Oxford Big Data Inst, Nuffield Dept Hlth, Li Ka Shing Ctr Hlth Informat & Discovery, Oxford, England
[4] Novartis Pharmaceut, E Hanover, NJ USA
[5] McGill Univ, Montreal Neurol Inst & Hosp, Brain Imaging Ctr, Montreal, PQ, Canada
[6] Cleveland Clin, Dept Neurol, Mellen MS Ctr, Cleveland, OH 44106 USA
[7] Univ Hosp Munster, Dept Neurol, Munster, Germany
[8] Univ Oxford, Dept Stat, Oxford, England
来源：
MULTIPLE SCLEROSIS JOURNAL | 2022年 / 28卷 / 3_SUPPL期
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
P1208
引用
收藏
页码：979 / 980
页数：2
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