… The accuracy of current prediction tools for ischaemic and bleeding events after an acute …
We developed a machine learning-based risk stratification model to predict all-cause death, …

… validated on patients from four other hospitals (n=2201) before or on May 1, and prospectively
validated on all patients after … to identify and rank variables that drive model predictions. …

… The external validation curve was performed in the external validation data set after training
… techniques in cardiovascular risk prediction: applying machine learning to address analytic …

… Main Outcomes and Measures Three machine learning models were developed and
validated to predict in-hospital mortality based on patient comorbidities, medical history, …

… After obtaining institutional review board approval from Shanghai Pulmonary Hospital, we …
is a deep learning algorithm that can predict individual survival risk values (Figure 1). We use …

… A gradient-boosted ensemble of decision trees was chosen as the classifier after
comparison of different machine learning algorithms. g, Evaluation. The proposed early-warning …

… create a deep-learning system to predict the risk of patients with diabetes developing diabetic
… Second, our system retained high prognostic value after adjusting for available risk factors. …

… Output of the classification result ranges from 0 to 1, which corresponds to the predicted …
the original fundus image after resizing, lesions identified by the algorithms as positive for …

… The SHAP summary plot was used to illustrate the positive or negative effects of the top
20 features attributed to the RF. We also used the SHAP dependence plot to explain how a …

… For instance, after we predict solubility in many different … authors developed and evaluated
a NN to predict the effect of … beyond formulation development and the prediction of in vitro …