Assessing the predictive capability of machine learning models in determining clinical outcomes for patients with cervical spondylotic myelopathy treated with …
E Alimohammadi, E Fatahi, A Abdi… - Patient Safety in …, 2024 - Springer
Background Cervical spondylotic myelopathy (CSM) is a prevalent degenerative condition
resulting from spinal cord compression and injury. Laminectomy with posterior spinal fusion …
resulting from spinal cord compression and injury. Laminectomy with posterior spinal fusion …
Machine learning for the prediction of cervical spondylotic myelopathy: a post hoc pilot study of 28 participants
Background Cervical spondylotic myelopathy (CSM) severity and presence of symptoms are
often difficult to predict based simply on clinical imaging alone. Similarly, improved machine …
often difficult to predict based simply on clinical imaging alone. Similarly, improved machine …
A clinical prediction model to assess surgical outcome in patients with cervical spondylotic myelopathy: internal and external validations using the prospective …
Background context Clinical prediction rules are valuable tools in a surgical setting but
should not be used to guide clinical practice until validated in other populations. Purpose …
should not be used to guide clinical practice until validated in other populations. Purpose …
Developing predictive models for surgical outcomes in patients with degenerative cervical myelopathy: a comparison of statistical and machine learning approaches
J Song, J Li, R Zhao, X Chu - The Spine Journal, 2024 - Elsevier
Abstract BACKGROUND CONTEXT Machine learning (ML) is widely used to predict the
prognosis of numerous diseases. PURPOSE This retrospective analysis aimed to develop a …
prognosis of numerous diseases. PURPOSE This retrospective analysis aimed to develop a …
Predictors of poor clinical outcome in patients with cervical spondylotic myelopathy undergoing cervical laminectomy and fusion
Background Cervical spondylotic myelopathy (CSM) is a common degenerative disease that
arises from spinal cord compression and injury. Laminectomy with posterior spinal fusion …
arises from spinal cord compression and injury. Laminectomy with posterior spinal fusion …
Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy
ZG Merali, CD Witiw, JH Badhiwala, JR Wilson… - PloS one, 2019 - journals.plos.org
Degenerative cervical myelopathy (DCM) is a spinal cord condition that results in
progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must …
progressive non-traumatic compression of the cervical spinal cord. Spine surgeons must …
A clinical prediction model to determine outcomes in patients with cervical spondylotic myelopathy undergoing surgical treatment: data from the prospective, multi …
Background: Cervical spondylotic myelopathy is a progressive spine disease and the most
common cause of spinal cord dysfunction worldwide. The objective of this study was to …
common cause of spinal cord dysfunction worldwide. The objective of this study was to …
Multidimensional assessment of cervical spondylotic myelopathy patients. Usefulness of a comprehensive score system
F Pilato, R Calandrelli, M Distefano… - Neurological Sciences, 2021 - Springer
Objective Cervical spondylotic myelopathy (CSM) is caused by cervical spine degeneration
and surgery may be beneficial, but selection for surgery might be challenging. We performed …
and surgery may be beneficial, but selection for surgery might be challenging. We performed …
Machine learning-based clustering in cervical spondylotic myelopathy patients to identify heterogeneous clinical characteristics
C Zhou, SS Huang, T Liang, J Jiang, J Chen… - Frontiers in …, 2022 - frontiersin.org
Background Anterior cervical decompression and fusion can effectively treat cervical
spondylotic myelopathy (CSM). Accurately classifying patients with CSM who have …
spondylotic myelopathy (CSM). Accurately classifying patients with CSM who have …
Machine-learning-based prediction by stacking ensemble strategy for surgical outcomes in patients with degenerative cervical myelopathy
Z Cai, Q Sun, C Li, J Xu, B Jiang - Journal of Orthopaedic Surgery and …, 2024 - Springer
Background Machine learning (ML) is extensively employed for forecasting the outcome of
various illnesses. The objective of the study was to develop ML based classifiers using a …
various illnesses. The objective of the study was to develop ML based classifiers using a …