Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy
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Title
Using a machine learning approach to predict outcome after surgery for degenerative cervical myelopathy
Authors
Keywords
Surgical and invasive medical procedures, Machine learning, Support vector machines, Artificial neural networks, Forecasting, Body weight, Quality of life, Decision trees
Journal
PLoS One
Volume 14, Issue 4, Pages e0215133
Publisher
Public Library of Science (PLoS)
Online
2019-04-05
DOI
10.1371/journal.pone.0215133
References
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Related references
Note: Only part of the references are listed.- Significant Predictors of Outcome Following Surgery for the Treatment of Degenerative Cervical Myelopathy
- (2018) Lindsay Tetreault et al. NEUROSURGERY CLINICS OF NORTH AMERICA
- The Natural History of Degenerative Cervical Myelopathy
- (2018) Jetan H. Badhiwala et al. NEUROSURGERY CLINICS OF NORTH AMERICA
- A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
- (2018) Su-In Lee et al. Nature Communications
- Predicting the minimum clinically important difference in patients undergoing surgery for the treatment of degenerative cervical myelopathy
- (2016) Lindsay Tetreault et al. Neurosurgical Focus
- Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations
- (2016) Eric Karl Oermann et al. Scientific Reports
- Degenerative Cervical Myelopathy
- (2015) Aria Nouri et al. SPINE
- A clinical prediction model to assess surgical outcome in patients with cervical spondylotic myelopathy: internal and external validations using the prospective multicenter AOSpine North American and international datasets of 743 patients
- (2015) Lindsay A. Tetreault et al. Spine Journal
- An Assessment of the Key Predictors of Perioperative Complications in Patients with Cervical Spondylotic Myelopathy Undergoing Surgical Treatment: Results from a Survey of 916 AOSpine International Members
- (2015) Lindsay Tetreault et al. World Neurosurgery
- A Clinical Prediction Model to Determine Outcomes in Patients with Cervical Spondylotic Myelopathy Undergoing Surgical Treatment
- (2013) Lindsay A. Tetreault et al. JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME
- Efficacy and Safety of Surgical Decompression in Patients with Cervical Spondylotic Myelopathy
- (2013) Michael G. Fehlings et al. JOURNAL OF BONE AND JOINT SURGERY-AMERICAN VOLUME
- Pathophysiology and Natural History of Cervical Spondylotic Myelopathy
- (2013) Spyridon K. Karadimas et al. SPINE
- Predictors of Outcome in Patients with Cervical Spondylotic Myelopathy Undergoing Surgical Treatment: A Survey of Members from AOSpine International
- (2013) Lindsay A. Tetreault et al. World Neurosurgery
- The AOSpine North America Cervical Spondylotic Myelopathy Study: 2-Year Surgical Outcomes of a Prospective Multicenter Study in 280 Patients
- (2010) Michael G. Fehlings et al. NEUROSURGERY
- Neck Disability Index, short form-36 physical component summary, and pain scales for neck and arm pain: the minimum clinically important difference and substantial clinical benefit after cervical spine fusion
- (2010) Leah Y. Carreon et al. Spine Journal
- Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques
- (2009) P. de Toledo et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
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