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 ...

Discordance Between the Initial Diagnosis of Sarcomas and Subsequent Histopathological Revision and Molecular Analyses in a Sarcoma Reference Center in Brazil In this prospective study of 170 patients ...

The visual data mining process, seen in the first part of this two-part article, revealed patterns in four dimensions between cumulative gas well production and independent variables. "Jump ...

As predictive models proliferate, providers and decision makers require accessible information to guide their use. Preventing and combating bias must also be priorities in model development and in ...

Predictive analytics is one of the most powerful tools at your disposal when it comes to decision-making in Six Sigma. Data drives quite a bit of any business’s operations under Six Sigma, so it ...

A new study published in Psychiatry Research suggests that while large language models are capable of identifying psychiatric diagnoses from clinical descriptions, they are prone to significant ...