A nomogram predicting the occurrence of severe OSA in snoring patients was constructed and validated with external data for the first time, and the findings all confirmed the validity of the model. This may help to improve existing clinical decision making, especially at institutions that do not yet have devices for diagnosing OSA.
Keyphrases
- obstructive sleep apnea
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- decision making
- peritoneal dialysis
- positive airway pressure
- prognostic factors
- squamous cell carcinoma
- risk assessment
- early onset
- deep learning
- electronic health record
- patient reported outcomes
- data analysis
- artificial intelligence