Development and Internal Validation of Machine Learning to Predict Postoperative Worse Functional Status after Surgical Treatment for Thoracic Spinal Stenosis

Tun Liu; Jia Li; Huaguang Qi; Bin Guo; Songchuan Zhao; Baoping Zhang; Langbo Li; Gang Wu; Gang Wang

doi:10.12659/MSM.945310

26 September 2024 : Database Analysis

Development and Internal Validation of Machine Learning to Predict Postoperative Worse Functional Status after Surgical Treatment for Thoracic Spinal Stenosis

Tun Liu^12ABCE, Jia Li^2D, Huaguang Qi^3F, Bin Guo^2B, Songchuan Zhao^4CD, Baoping Zhang^2F, Langbo Li^5D, Gang Wu^2A, Gang Wang^1D*

DOI: 10.12659/MSM.945310

Med Sci Monit 2024; 30:e945310

Authors information Article notes Copyright and License information

Introduction Material and Methods Results and Evaluations Discussion Conclusions References

Related articles Order reprints Share article Share by email

View HTML version

Figure 1 Our study flowchart and data classification. ASA – American Society of Anesthesiologists; ML – machine learning; IONM – intraoperative neuromonitoring.

Back to the Article

Development and Internal Validation of Machine Learning to Predict Postoperative Worse Functional Status after Surgical Treatment for Thoracic Spinal Stenosis

Your Privacy