The AI models, paired with standardized care pathways, can be transformative in addressing readmissions and other high-impact ...

Abstract: Image data visualization plays a crucial role in computer algorithm analysis and research. It can intuitively display the running process, performance, and result characteristics of ...

Deep in the badlands of defeat, Democrats have soul-searched about what went wrong last November, tinkered with a thousand-plus thinkpieces and desperately cast for a strategy to reboot their ...

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 ...

Researchers have developed a new computer-aided diagnosis (CAD) system, BREAST-CAD, to improve breast cancer detection accuracy using machine learning algorithms and a real-time client-server ...

Objective: To develop a decision tree model using clinical risk factors to predict massive pulmonary hemorrhage (MPH) and MPH-related mortality in extremely low birth weight infants (ELBWIs). Method: ...

Abstract: This article presents an ayurvedic medicine recommendation system that has used the decision tree algorithm to make customized treatment recommendations based on user inputs gathered from ...

Adaptive Boosting (AdaBoost), an ensemble of several weak learner decision trees, outperforms random guessing by a modest margin. To minimize the error of the ...

This project uses Weka to analyze the "Car Evaluation" dataset with decision trees, comparing model performance on 70/30 and 50/50 data splits. It includes accuracy, F1-scores, and decision tree ...