Predictive modeling of complications

Predictive analytic algorithms are designed to identify patterns in the data that allow for accurate predictions without the need for a hypothesis. Therefore, predictive modeling can provide detailed and patient-specific information that can be readily applied when discussing the risks of surgery with a patient. There are few studies using predictive modeling techniques in the adult spine surgery literature. These types of studies represent the beginning of the use of predictive analytics in spine surgery outcomes. We will discuss the advancements in the field of spine surgery with respect to predictive analytics, the controversies surrounding the technique, and the future directions.

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[14]  James D. Kang,et al.  Prediction of blood loss during surgery on the lumbar spine with the patient supported prone on the Jackson table. , 2012, The spine journal : official journal of the North American Spine Society.

[15]  Y. Tsai,et al.  A predictive model for disability in patients with lumbar disc herniation , 2013, Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association.

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[17]  E. Benzel,et al.  Use of artificial neural networks to predict surgical satisfaction in patients with lumbar spinal canal stenosis: clinical article. , 2014, Journal of neurosurgery. Spine.

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[19]  Tom Stanley,et al.  Instrumentation-Related Complications of Multilevel Fusions for Adult Spinal Deformity Patients Over Age 65: Surgical Considerations and Treatment Options in Patients With Poor Bone Quality , 2006, Spine.

[20]  Samuel K. Cho,et al.  Comparative Analysis of Clinical Outcome and Complications in Primary Versus Revision Adult Scoliosis Surgery , 2012, Spine.

[21]  A. Valdevit,et al.  Predicting Operative Blood Loss During Spinal Fusion for Adolescent Idiopathic Scoliosis , 2013, Journal of pediatric orthopedics.

[22]  L. Lenke,et al.  Does Treatment (Nonoperative and Operative) Improve the Two-Year Quality of Life in Patients With Adult Symptomatic Lumbar Scoliosis: A Prospective Multicenter Evidence-Based Medicine Study , 2009, Spine.

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[25]  P. Guigui,et al.  Complications and Risk Factors of Primary Adult Scoliosis Surgery: A Multicenter Study of 306 Patients , 2012, Spine.

[26]  T. S. Keller,et al.  A predictive model for outcome after conservative decompression surgery for lumbar spinal stenosis , 2004, European Spine Journal.