Identification of moyamoya disease based on cerebral oxygen saturation signals using machine learning methods-Reference-Cited by-同舟云学术

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Identification of moyamoya disease based on cerebral oxygen saturation signals using machine learning methods

Published:2022-02-28 Issue:7 Volume:15 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:Journal of Biophotonics

Author:

Gao Tianxin¹^ORCID,Zou Chuyue¹,Li Jinyu¹,Han Cong²³,Zhang Houdi²,Li Yue⁴,Tang Xiaoying¹,Fan Yingwei⁵

Affiliation:

1. School of Life Science, Beijing Institute of Technology Beijing China

2. Department of Neurosurgery Chinese PLA General Hospital Beijing China

3. Medical School of Chinese PLA Beijing China

4. School of Medicine, Tsinghua University Beijing China

5. School of Medical Technology, Beijing Institute of Technology Beijing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202100388

Reference50 articles.

1. Surgical Management of Moyamoya Disease

2. Progress in moyamoya disease

3. Long-term mortality in patients with moyamoya angiopathy according to stroke presentation type in South Korea

4. Late Cerebrovascular Events and Social Outcome after Adolescence: Long-term Outcome of Pediatric Moyamoya Disease

5. Cerebrovascular events after surgery versus conservative therapy for moyamoya disease: a meta-analysis

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