Artificial Intelligence Based Hierarchical Clustering of Patient Types and Intervention Categories in Adult Spinal Deformity Surgery: Towards a New Classification Scheme that Predicts Quality and Value

Ames C. P. , Smith J. S. , Pellise F., Kelly M., Alanay A. , Acaroglu E., ...More

Spine, vol.44, no.13, pp.915-926, 2019 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 44 Issue: 13
  • Publication Date: 2019
  • Doi Number: 10.1097/brs.0000000000002974
  • Title of Journal : Spine
  • Page Numbers: pp.915-926
  • Keywords: adult spinal deformity, artificial intelligence, classification, complications, hierarchical clustering, outcomes, predictive analytics, quality, scoliosis, surgery, OF-LIFE, NONOPERATIVE TREATMENT, COST-EFFECTIVENESS, UNITED-STATES, SCOLIOSIS, IMPACT, MULTICENTER, VALIDATION, TOOL, PARAMETERS


Study Design. Retrospective review of prospectively-collected, multicenter adult spinal deformity (ASD) databases.