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 …
Machine learning algorithms for prediction of health-related quality-of-life after surgery for mild degenerative cervical myelopathy
O Khan, JH Badhiwala, CD Witiw, JR Wilson… - The Spine Journal, 2021 - Elsevier
BACKGROUND Degenerative cervical myelopathy (DCM) is the most common cause of
spinal cord dysfunction worldwide. Current guidelines recommend management based on …
spinal cord dysfunction worldwide. Current guidelines recommend management based on …
Prediction of worse functional status after surgery for degenerative cervical myelopathy: a machine learning approach
O Khan, JH Badhiwala, MA Akbar, MG Fehlings - Neurosurgery, 2021 - journals.lww.com
BACKGROUND Surgical decompression for degenerative cervical myelopathy (DCM) is one
of the mainstays of treatment, with generally positive outcomes. However, some patients …
of the mainstays of treatment, with generally positive outcomes. However, some patients …
Patient phenotypes associated with outcome following surgery for mild degenerative cervical myelopathy: a principal component regression analysis
Abstract Background Context Predictors of outcome after surgery for degenerative cervical
myelopathy (DCM) have been determined previously through hypothesis-driven multivariate …
myelopathy (DCM) have been determined previously through hypothesis-driven multivariate …
Predicting outcomes after surgical decompression for mild degenerative cervical myelopathy: moving beyond the mJOA to identify surgical candidates
JH Badhiwala, LD Hachem, Z Merali, CD Witiw… - …, 2020 - journals.lww.com
BACKGROUND Patients with mild degenerative cervical myelopathy (DCM) represent a
heterogeneous population, and indications for surgical decompression remain controversial …
heterogeneous population, and indications for surgical decompression remain controversial …
A clinical prediction rule for functional outcomes in patients undergoing surgery for degenerative cervical myelopathy: analysis of an international prospective …
Background: Cervical spondylotic myelopathy (CSM) is a progressive spinal condition that is
often managed surgically. Knowledge of important predictors of surgical outcome can …
often managed surgically. Knowledge of important predictors of surgical outcome can …
The minimum clinically important difference of the modified Japanese Orthopaedic Association scale in patients with degenerative cervical myelopathy
Study Design. Analysis of the prospective AOSpine CSM-International and North America
datasets and survey of AO Spine International. Objective. This study aims to define the …
datasets and survey of AO Spine International. Objective. This study aims to define the …
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 …
Use of multivariate linear regression and support vector regression to predict functional outcome after surgery for cervical spondylotic myelopathy
This study introduces the use of multivariate linear regression (MLR) and support vector
regression (SVR) models to predict postoperative outcomes in a cohort of patients who …
regression (SVR) models to predict postoperative outcomes in a cohort of patients who …
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 …