Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms.
Mitra RahimiMohammad Reza AfrashShahin ShadniaBabak MostafazadehPeyman Erfan Talab EviniMohadeseh Sarbaz BardsiriMaral RamezaniPublished in: BMC Medical Informatics Decis. Mak. (2024)
Keyphrases
- machine learning algorithms
- machine learning methods
- outcome prediction
- benchmark data sets
- machine learning
- kaplan meier
- learning algorithm
- decision trees
- prognostic models
- learning problems
- predictive accuracy
- machine learning models
- random forests
- survival analysis
- prediction accuracy
- standard machine learning algorithms
- machine learning approaches
- learning tasks
- therapy planning
- machine learning systems
- quality assessment
- input features
- intensive care
- data mining
- machine learning and data mining algorithms
- survival data
- logistic regression
- breast cancer
- multiclass classification
- clinical data
- training data
- breast cancer patients
- prognostic factors
- neural network
- prediction model