Decoding nociception in the spinal cord: Computer modeling and machine learning-Reference-Cited by-同舟云学术

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Decoding nociception in the spinal cord: Computer modeling and machine learning

Published:2022 Issue: Volume: Page:175-198
ISSN:
Container-title:Spinal Cord Injury Pain
language:
Short-container-title:

Author:

Barrios-Anderson Adriel,Fridley Jared S.,Borton David A.,Saab Carl

Publisher

Elsevier

Reference100 articles.

1. Predictors of outcome in acute traumatic central cord syndrome due to spinal stenosis;Aarabi;J. Neurosurg. Spine,2011

2. Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine;Ahmed;Database,2020

3. Outcome measures in spinal cord injury: recent assessments and recommendations for future directions;Alexander;Spinal Cord,2009

4. Overview of artificial intelligence in medicine;Amisha;J. Family Med. Prim. Care,2019

5. The 2019 revision of the international standards for neurological classification of spinal cord injury (ISNCSCI)—What’s new?;ASIA and ISCoS International Standards Committee;Spinal Cord,2019

Cited by 1 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. Identification of injured elements in computational models of spinal cord injury using machine learning ^*;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

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