Machine learning clustering of adult spinal deformity patients identifies four prognostic phenotypes: a multicenter prospective cohort analysis with single surgeon external validation
-
Published:2024-06
Issue:6
Volume:24
Page:1095-1108
-
ISSN:1529-9430
-
Container-title:The Spine Journal
-
language:en
-
Short-container-title:The Spine Journal
Author:
Mohanty Sarthak, Hassan Fthimnir M.ORCID, Lenke Lawrence G., Lewerenz Erik, Passias Peter G., Klineberg Eric O., Lafage Virginie, Smith Justin S., Hamilton D. Kojo, Gum Jeffrey L., Lafage Renaud, Mullin Jeffrey, Diebo Bassel, Buell Thomas J., Kim Han Jo, Kebaish Khalid, Eastlack Robert, Daniels Alan H., Mundis Gregory, Hostin Richard, Protopsaltis Themistocles S., Hart Robert A., Gupta Munish, Schwab Frank J., Shaffrey Christopher I., Ames Christopher P., Burton Douglas, Bess Shay
Reference38 articles.
1. The health impact of symptomatic adult spinal deformity: comparison of deformity types to United States Population norms and chronic diseases;Bess;Spine (Phila Pa 1976),2016 2. Adult scoliosis: prevalence, SF-36, and nutritional parameters in an elderly volunteer population;Schwab;Spine (Phila Pa 1976),2005 3. Adult spinal deformity: epidemiology, health impact, evaluation, and management;Ames;Spine Deform,2016 4. Impact on health related quality of life of adult spinal deformity (ASD) compared with other chronic conditions;Pellisé;Eur spine J Off Publ Eur Spine Soc Eur Spinal Deform Soc Eur Sect Cerv Spine Res Soc,2015 5. Changes in radiographic and clinical outcomes with primary treatment adult spinal deformity surgeries from two years to three- to five-years follow-up;Bridwell;Spine (Phila Pa 1976),2010
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|