I commend Florian A Wenzl and colleagues for extending the use of the Global Registry of Acute Coronary Events (GRACE) 3.0 ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

To compare whole-lesion apparent diffusion coefficient (ADC) histogram analysis with representative ADC value for assessing muscle invasion in bladder cancer, and to build a decision tree model that ...

Tree farmers and the marketing group that supports them want more Americans to buy live-cut trees. A new Home Depot ad gave them holiday hope. By Kevin Draper Milk had “Got Milk?” Beef had “Beef: It’s ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Decision-making during the early stages of research and development (R&D) should be ...

Abstract: This study utilizes decision tree and logistic regression models to explore the factors contributing to medical claim denials and identify areas for improvement. We adapt undersampling ...