A NaiveBayes machine learning algorithm can predict osteoporosis in OVCF patients using t1-sequence MRI images of lumbar compression fractures. This approach aims to obviate the necessity for further osteoporosis assessments, diminish patient exposure to radiation, and bolster the clinical care of patients with OVCF.
Keyphrases
- machine learning
- postmenopausal women
- bone mineral density
- deep learning
- end stage renal disease
- minimally invasive
- healthcare
- newly diagnosed
- ejection fraction
- magnetic resonance imaging
- contrast enhanced
- chronic kidney disease
- palliative care
- peritoneal dialysis
- artificial intelligence
- prognostic factors
- case report
- magnetic resonance
- convolutional neural network
- squamous cell carcinoma
- optical coherence tomography
- body composition
- radiation therapy
- pain management
- radiation induced
- amino acid
- chronic pain
- affordable care act