Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T 2 *-weighted images of cervical spondylotic myelopathy.

Meng-Ze ZhangHan-Qiang Ou-YangLiang JiangChun-Jie WangJian-Fang LiuDan JinMing NiXiao-Guang LiuNing LangHui-Shu Yuan

Published in: JOR spine (2021)

Radiomic features can predict postoperative spinal cord function in CSM patients. The linear SVM preprocessor + SVM has great application potential in building radiomic models.

Keyphrases

spinal cord
machine learning
end stage renal disease
patients undergoing
newly diagnosed
ejection fraction
chronic kidney disease
spinal cord injury
deep learning
magnetic resonance
neuropathic pain
artificial intelligence
patient reported outcomes
climate change
network analysis