Clinical-ready AI tool boosts breast cancer detection via decision tree algorithms The system is structured around a client-server architecture designed to provide scalability, remote accessibility, ...

The ML Algorithm Selector is an interactive desktop application built with Python and Tkinter. It guides users through a decision-making process to identify suitable machine learning algorithms for ...

Decision tree is a machine learning algorithm that can effectively predict student performance. However, the existing performance prediction models rarely analyze the impact of multiple factors on ...

Luka Dončić trade: How Mark Cuban was edged out of Mavericks’ decision-making tree C. Clark, D. Aldridge, S. Amick, F. Katz April 9, 2025Updated April 10, 2025 308 ...

An innovative algorithm called Spectral Expansion Tree Search helps autonomous robotic systems make optimal choices on the move.

ABSTRACT: Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Traffic offences are characterised by high complexity and low sentencing accuracy in the ordinary prosecution sentencing process. Decision tree algorithm is a more effective sentencing accuracy and ...

Chemotherapy-induced peripheral neuropathy (CIPN) poses a substantial challenge in breast cancer (BC) chemotherapy, affecting the patient's quality of life. Recent studies have focused on exploring ...

Abstract Decision tree is an effective supervised learning method for solving classification and regression problems. This article combines the Pearson correlation coefficient with the CART decision ...

Our inherent strength lies in the fact that this study is one of the first studies to utilize an ML-based decision tree algorithm to classify immune risk in HIV patients. Conclusion: Our study ...