The study of decision trees and optimisation techniques remains at the forefront of modern data science and machine learning. Decision trees, with their inherent interpretability and efficiency, are ...

A two-step decision tree analysis, incorporating Donabedian’s model, is a feasible process to evaluate and distill the many available quality standards, guidelines, recommendations and indicators in ...

Decision trees — an approach to predicting whether patients develop resistance to antibiotics and tailored specifically to each institution — can aid clinicians in prescribing the drug or drug ...

Fairfax, Va., July 28, 2014—A two-step decision tree analysis, incorporating Donabedian's model, is a feasible process to evaluate and distill the many available quality standards, guidelines, ...

You can use decision trees to guide you in deciding among several alternatives. The decision-tree method allows you to approach the problem in a structured and systematic way to arrive at a logical ...

Decision tree analysis is a method of constructing a decision tree, which is a detailed representation of numerous potential solutions that can be utilized to address a specific problem to choose the ...

A clinical decision tool can reduce antibiotic prescriptions in children with acute illness in primary care without affecting ...

Objective: To determine whether classification tree techniques used on survey data collected at enrollment from older adults in a Medicare HMO could predict the likelihood of an individual being in a ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...