Table 1.
Previous Studies That Build Predictive Models for AECOPDs Employing ML
| Authors | Dataset Size (# Patients) | ML Methods |
|---|---|---|
| Singh et al (2022)11 | 20,054 | Gradient boosting (with virtual twins), GLMtree, GUIDE, and Elastic Nets |
| Marques et al (2022)12 | 352 | Decision Tree |
| Zeng et al (2022)13 | 1848, 2725, 3204, 4009, 4875, 5793, 6504, 7089, 7529 | 39 classification algorithms supported by WEKA as well as Extreme Gradient Boosting (XGBoost) |
| Chmiel et al (2022)14 | 2374 | Logistic Regression and Random Forest |
| Ställberg et al (2021)15 | 7823 | Logistic Regression, Random Forest, Xgboost |
| Joshe et al (2021)16 | 101 | Logistic regression and Decision Tree |
| Hussain et al (2021)17 | 2900 | Random Forest, Support Vector Machine, Gradient Boosting, XGBoost, K-Nearest Neighbor (KNN) |
| Wu et al (2021)18 | 67 | Random Forest, Decision Tree, KNN, Linear Discriminant Analysis, AdaBoost, Deep Learning |
| Peng et al (2020)19 | 410 | C5.0 |
| Ma et al (2020)20 | 441 + 192 control patients | Logistic Regression, Multilayer Perceptron (MLP), Decision Tree, XGBoost, Support Vector Machines, KNN |
| Wang et al (2019)21 | 303 | Random Forest, Support Vector Machine, Logistic Regression, KNN, Naive Bayes |
| Orchard et al (2018)22 | 135 | (1) Nonparametric predictive methods (2) Regularized classifiers based on the adaptive extensions of elastic nets (3) Ensembles of boosted classifiers (4) Long short-term memory multitask neural network models |
| Fernandez-Granero et al (2018–2015)23,24 | 16 | Radial basis function neural network (RBF), k-means, probabilistic neural network, Decision Tree Forest. |
| Leidy et al (2016)25 | 5761, 508, 10,214 | Naive Bayes, Bayes Network, ID3, C4.5. |
| Saleh et al (2017)8 | 1985 | Naive Bayes, Bayes Network, ID3, C4.5. |
| Mohktar et al (2015)26 | 21 | A Classification and Regression Tree (CART) |
| Amalakuhan et al (2012)27 | 106 | Random Forest |
Abbreviations: CART, Classification and Regression Tree; GLMtree, Generalized Linear Model Tree; GUIDE, Generalized unbiased interaction detection and estimation; KNN, K-Nearest Neighbor; MLP, Multilayer Perceptron; RBF, Radial basis function neural network; XGBoost, Extreme Gradient Boosting.