Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of a next-generation biocompatible titanium alloy, potentially improving the ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically ...

A deceptively simple question underlies many global environmental policies: where, exactly, are the world’s forests? A new study suggests the answer depends heavily on which map one consults—and that ...

A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who ...

A genetic test meant to introduce you to a lost cousin could also introduce info on your entire lineage to a stranger seeking profit.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

The backyard pool has evolved from a simple summer luxury into a connected smart home ecosystem. In 2026, pool owners are increasingly turning to robotic soluti ...