Probabilistic graphical modelling using Bayesian networks for predicting clinical outcome after posterior decompression in patients with degenerative cervical myelopathy-Reference-Cited by-同舟云学术

Probabilistic graphical modelling using Bayesian networks for predicting clinical outcome after posterior decompression in patients with degenerative cervical myelopathy

Published:2023-07-12 Issue:1 Volume:55 Page:
ISSN:0785-3890
Container-title:Annals of Medicine
language:en
Short-container-title:Annals of Medicine

Author:

Shin Dong Ah¹,Lee Sun-Ho²,Oh Sohee³,Yoo Changwon⁴,Yang Hee-Jin⁵,Jeon Ikchan⁶,Park Sung Bae⁵⁷

Affiliation:

1. Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea

2. Department of Neurosurgery, Spine Tumor Center and Special Cancer Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea

3. Department of Biostatistics, Seoul National University Boramae Medical Center, Seoul, South Korea

4. Department of Biostatistics, Robert Stempel College of Public Health and Social Work, FL International University, Miami, FL, USA

5. Department of Neurosurgery, Seoul National University Boramae Medical Center, Seoul, South Korea

6. Department of Neurosurgery, College of Medicine, Yeungnam University, Daegu, South Korea

7. Department of Neurosurgery, Seoul National University of Medicine, Seoul, South Korea

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/07853890.2023.2232999

Reference26 articles.

1. Cervical spondylotic myelopathy: the prediction of outcome following surgical intervention in 93 patients using T1- and T2-weighted MRI scans

2. Treatment of Mild Cervical Myelopathy

3. Consultation and Surgical Wait Times in Cervical Spondylotic Myelopathy

4. Pathophysiology and Natural History of Cervical Spondylotic Myelopathy

5. The natural history of cervical spondylotic myelopathy;Sadasivan KK;Yale J Biol Med,1993

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