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Identifying the Characteristics of Patients With Cervical Degenerative Disease for Surgical Treatment From 17-Year Real-World Data: Retrospective Study.

Si ZhengYun Xia WuJia Yang WangYan LiZhong Jun LiuXiao Guang LiuGeng Ting DangYu SunJiao Li
Published in: JMIR medical informatics (2020)
The RWD showed its capability in supporting clinical research. The mean age at surgery for CDD was consistent in the real-world population, the proportion of female patients increased, and the average length of stay decreased over time. These results may be valuable to guide resource allocation for the early prevention and diagnosis, as well as surgical treatment of CDD.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • coronary artery disease
  • machine learning
  • deep learning
  • acute coronary syndrome