Efficacy of a machine learning-based approach in predicting neurological prognosis of cervical spinal cord injury patients following urgent surgery within 24 h after injury-Reference-Cited by-同舟云学术

Efficacy of a machine learning-based approach in predicting neurological prognosis of cervical spinal cord injury patients following urgent surgery within 24 h after injury

Published:2023-01 Issue: Volume:107 Page:150-156
ISSN:0967-5868
Container-title:Journal of Clinical Neuroscience
language:en
Short-container-title:Journal of Clinical Neuroscience

Author:

Shimizu Tomoaki,Suda Kota,Maki Satoshi,Koda Masao,Matsumoto Harmon Satoko,Komatsu Miki,Ota Masahiro,Ushirozako Hiroki,Minami Akio,Takahata Masahiko,Iwasaki Norimasa,Takahashi Hiroshi,Yamazaki Masashi

Publisher

Elsevier BV

Subject

Physiology (medical),Neurology (clinical),Neurology,General Medicine,Surgery

Reference30 articles.

1. Using Machine Learning to Predict Rehabilitation Outcomes in Postacute Hip Fracture Patients;Shtar;Arch Phys Med Rehabil,2021

2. Machine learning-based approach for disease severity classification of carpal tunnel syndrome;Park;Sci Rep,2021

3. Maki S, Furuya T, Yoshii T, Egawa S, Sakai K, Kusano K, et al. Machine Learning Approach in Predicting Clinically Significant Improvements After Surgery in Patients with Cervical Ossification of the Posterior Longitudinal Ligament. Spine (Phila Pa 1976). 2021;46:1683-9.10.1097/BRS.0000000000004125.

4. Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy;Merali;PLoS ONE,2019

5. Fan G, Yang S, Liu H, Xu N, Chen Y, He J, et al. Machine Learning-based Prediction of Prolonged ICU- Stay for Critical Patients With Spinal Cord Injury. Spine (Phila Pa 1976). 2021.10.1097/BRS.0000000000004267.

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