A comparison of random survival forest and Cox regression for prediction of mortality in patients with hemorrhagic stroke.
Yuxin WangYuhan DengYinliang TanMeihong ZhouYong JiangBaohua LiuPublished in: BMC Medical Informatics Decis. Mak. (2023)
Keyphrases
- survival analysis
- prognostic models
- kaplan meier
- proportional hazards model
- regression model
- survival data
- survival prediction
- variable selection
- breast cancer
- machine learning
- data mining methods
- distribution free
- predictive modeling
- lung cancer
- early detection
- logistic regression
- evolutionary computing
- neural network
- data mining
- risk assessment
- clinical data
- prediction accuracy
- model selection
- high risk
- linear regression model
- prediction model
- outcome prediction