Machine learning algorithms for the prediction of adverse prognosis in patients undergoing peritoneal dialysis.
Jie YangJing-Fang WangLei FengShihui HouKaizhen YvLiang XuKehong ChenPublished in: BMC Medical Informatics Decis. Mak. (2024)
Keyphrases
- machine learning algorithms
- machine learning methods
- outcome prediction
- benchmark data sets
- machine learning
- learning algorithm
- kaplan meier
- prognostic models
- learning problems
- decision trees
- intensive care unit
- survival analysis
- prediction accuracy
- predictive accuracy
- medical data
- cancer patients
- machine learning approaches
- learning tasks
- random forests
- standard machine learning algorithms
- prognostic factors
- input features
- prediction model
- therapy planning
- intensive care
- machine learning models
- machine learning systems
- learning models
- transfer learning
- acute coronary syndrome
- ensemble methods
- medical practice
- logistic regression
- disease progression
- supervised learning
- data sets