Research Article
Optimization of Tree-Based Machine Learning Models to Predict the Length of Hospital Stay Using Genetic Algorithm
Table 1
Details of reviewed studies.
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Methods. BL, binary logistic; BN, Bayesian network; FL, fuzzy logic; GLM, generalized linear model; KNN, K-nearest neighbors; LR, logistic regression; LWL, locally weighted learning; MLP, multilayer perceptron; MR, multiple regression; NB, Naïve Bayes; Reg.T, regression tree; CT, classification trees; DT, decision tree (J48); GBM, gradient boosting machine; Rand.T, random tree; RF, random forest; SVM, support vector machines; TB, tree bagger; ANN, artificial neural network; GRU, gated recurrent unit; RNN, recurrent neuronal network. |