Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

EULAR – The European Alliance of Associations for Rheumatology – is actively integrating artificial intelligence (AI) into its guidelines and research, recognising the potential to enhance diagnosis, ...

Accurate tree species classification from remote sensing data, such as LiDAR point clouds, is important for various applications, including vegetation monitoring and forest growth prediction. Although ...

In Week 18 of my DataraFlow, the focus was on tree-based classification algorithms, specifically Decision Tree and Random Forest classifiers. These models are widely used in machine learning because ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

Cholelithiasis, commonly known as Gallstone disease, occurs when hardened deposits form in the gallbladder or bile ducts. It affects millions of people worldwide and is especially common in women.

Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...

1 Computer Science Department, Babcock University, Ilishan-Remo, Ogun State, Nigeria. 2 Computer Science Department, Adeleke University, Ede, Osun State, Nigeria. 3 Department of Applied Mathematics, ...

Physical frailty is a pressing public health issue that significantly increases the risk of disability, hospitalization, and mortality. Early and accurate detection of frailty is essential for timely ...

The Decision Tree algorithm is a popular machine learning method used for classification and regression tasks. It models decisions in a tree-like structure to achieve interpretability and efficiency.

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 tree, ...

This article introduces the Modified Al-Biruni Earth Radius (MBER) algorithm, which seeks to improve the precision of categorizing eye states as either open (0) or closed (1). The evaluation of the ...