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

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Table 5 Comparison of preoperative somatosensory-evoked potential (SSEP) parameters and intraoperative SSEP baseline parameters.

	Amplitude (μV)	Latency (ms)
Preoperative SSEP waveforms (n=327)	1.93±1.24	42.14±3.13
Intraoperative SSEP baseline waveforms (n=327)	1.85±1.76^*	44.43±3.76^*
^* Indicates

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

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