… good classification models. An ensemble classifier combines … Classification or class prediction
(machine learning algorithm) … classification model building, such as the logistic regression …

… The Lasso-logistic regression model was used to select … medicine, especially in those
people who are diagnosed by … indicator but also correlates with a good prognosis[J]. Thorac …

… of machine learning in stroke diagnosis, treatment, and … They developed two prognostic
models based on logistic regression … can predict the likelihood of stroke and identify people more …

… model and two machine learning methods,random forest (RF)… prognostic factors Survival
analysis and two ML models were … prognostic factor of melanoma and Logistic model was used …

… validation of machine learning models or algorithms, 10 … vector machine, random forest,
naive bayes, logistic regression, … algorithm and named it as the radiomic prognostic vector (RPV)…

… pancreatic cancer patients and their prognosis which met the … χ 2 test, multivariate Logistic
regression analysis and random … than other common machine learning methods in predicting …

… prognosis prediction model of intracerebral hemorrhage using multimodal medical data and
machine learning[J]. … The results of univariate analysis and multivariate logistic regression …

… factors affecting the prognosis of sepsis patients. Results The … of Logistic regression model
and decision tree model are … the decision process of machine learning model. Conclusion …

… Machine learning algorithms have better performance than traditional logistic regression
in … of a multivariable prediction model for individual prognosis or diagnosis,TRIPOD) [8] . …

… , researchers have implemented machine learning algorithms with … Another statistical model
is the logistic regression model, … AD prognosis include DNN, restricted Boltzmann machine …