Development and internal validation of machine-learning models for predicting survival in patients who underwent surgery for spinal metastases.
Borriwat SantipasKanyakorn VeerakanjanaPiyalitt IttichaiwongPiya ChavalparitSirichai WilartratsamiPanya LuksanapruksaPublished in: Asian spine journal (2024)
These machine-learning algorithms showed promising results in predicting survival in patients who underwent spinal palliative surgery for spinal metastasis, which may assist surgeons in choosing appropriate treatment and increasing awareness of mortality-related factors before surgery.
Keyphrases
- machine learning
- end stage renal disease
- minimally invasive
- newly diagnosed
- coronary artery bypass
- ejection fraction
- spinal cord
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- type diabetes
- spinal cord injury
- cardiovascular disease
- deep learning
- coronary artery disease
- risk factors
- patient reported
- cardiovascular events
- combination therapy