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., ...Daha Fazla

Spine, cilt.44, sa.13, ss.915-926, 2019 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 44 Sayı: 13
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1097/brs.0000000000002974
  • Dergi Adı: Spine
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.915-926
  • Anahtar Kelimeler: 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
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

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