Short-term prognostic models for severe acute kidney injury patients receiving prolonged intermittent renal replacement therapy based on machine learning.
Wenqian WeiZhefei CaiLei ChenWeijie YuanYingle FanShu RongPublished in: BMC Medical Informatics Decis. Mak. (2023)
Keyphrases
- short term
- prognostic models
- machine learning
- intensive care
- long term
- intensive care unit
- survival analysis
- acute myeloid
- medical data
- logistic regression
- decision support system
- clinical trials
- prostate cancer
- risk factors
- regression model
- machine learning methods
- logistic regression models
- decision trees
- short term and long term
- patient data
- health care
- long term memory
- data mining
- evolutionary computing
- decision support
- statistical methods
- feature selection
- decision making
- load forecasting
- inductive learning
- learning algorithm
- breast cancer
- high risk
- data mining methods
- blood pressure
- forecasting model
- evolutionary computation
- medical diagnosis