… Logistic regression(LR),support vector machine(SVM),random forest(RF),extreme gradient …
machine learning algorithms for predictive modeling. Afterten-fold cross-validation,the models …

… Prognosis prediction modeling of heart failure based on Logistic regression and random
forest[… fitting and validation with machine learning algorithm based on the structured clinical data …

… ), support vector machine (SVM) and logistic regression (LR), … by machine learning algorithm
to construct a prediction model … Our method provides an alternative of initial prognosis for …

… Dual⁃ energy CT texture analysis with machine learning for the evaluation and … After the
multivariate logistic regression analysis,the individual diagnostic performance of independent …

… tumor prognosis … model incorporating pre-SRS tumor volume, tumor numbers, and systemic
cancer progression status to predict the intracranial distant progression, but those models …

… ," in particular with the aid of deep learning techniques." Furthermore, … radiomics signatures
by logistic regression or simple … found three possible causes of poor prognosis of HCC: high …

… The prognosis was evaluated using the modified Rankin scale (mRS), and a score of mRS
>… machine learning models ranged from 0.703 to 0.852, and the logistic regression model was …

… on machine learning algorithms and select the optimal model,… :good prognosis (mRS scores
of 0-2)and poor prognosis (… -variate Logistic regression (LR)using the stepwise regression …

… , treatment and prognosis. Logistic regression models and Cox proportional hazards …
The Bayesian Monte Carlo Metropolis Hasting regression sampling of machine learning was …

… ), support vector machine (SVM) and logistic regression (LR), … by machine learning algorithm
to construct a prediction model … Our method provides an alternative of initial prognosis for …