Predicting the functional outcomes of anti‐LGI1 encephalitis using a random forest model-Reference-Cited by-同舟云学术

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Predicting the functional outcomes of anti‐LGI1 encephalitis using a random forest model

Published:2022-04-04 Issue:2 Volume:146 Page:137-143
ISSN:0001-6314
Container-title:Acta Neurologica Scandinavica
language:en
Short-container-title:Acta Neuro Scandinavica

Author:

Li Gongfei¹,Liu Xiao¹,Wang Minghui²,Yu Tingting¹,Ren Jiechuan¹³,Wang Qun¹³⁴^ORCID

Affiliation:

1. Department of Neurology Beijing Tiantan Hospital Capital Medical University Beijing China

2. Beijing Tongren Eye Center, Beijing Tongren Hospital Capital Medical University Beijing China

3. China National Clinical Research Center for Neurological Diseases Beijing China

4. Beijing Institute for Brain Disorders Beijing China

Funder

Natural Science Foundation of Beijing Municipality

Publisher

Hindawi Limited

Subject

Neurology (clinical),Neurology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/ane.13619

Reference26 articles.

1. Anti-LGI1 encephalitis

2. Epidemiology of Antibody-Positive Autoimmune Encephalitis in Southwest China: A Multicenter Study

3. Telemedicine assessment of long-term cognitive and functional status in anti-leucine-rich, glioma-inactivated 1 encephalitis

4. Clinical Characteristics and Long-Term Prognosis of Anti-LGI1 Encephalitis: A Single-Center Cohort Study in Beijing, China

5. Neurofunctional outcomes in patients with anti‐leucine‐rich glioma inactivated 1 encephalitis

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Severity Identification of Graves Orbitopathy via Random Forest Algorithm;Hormone and Metabolic Research;2024-04-08

2. Predictors of Relapse in LGI1 Antibody Encephalitis: Experience from Two-Center Study in Beijing, China;2024

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