A novel generative AI framework can predict the need for red blood cell transfusion and mortality risk in ICU patients with acute GI bleeding.

Scientists just found a way to break through climate apathy In a field of muddy results, it's among the clearest findings that one cognitive scientist has seen in his career.

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

Implementation and Performance Evaluation of Machine Learning-Based Apriori Algorithm to Detect Non-Technical Losses in Distribution Systems ...

The emergence and augmentation of nontechnical losses (NTLs) in a power distribution system has always been considered a critical issue in the global electricity market. Being considered as uncharged, ...

Learn how to implement, improve, and evaluate the Apriori algorithm, a popular and efficient technique for association rule mining in data mining.

People often distrust algorithms due to "algorithm aversion," even when they outperform humans. In one study, age, extraversion, and trust were the most significant factors influencing algorithm ...

This project demonstrates Market Basket Analysis (MBA) using the Apriori algorithm, a popular technique for identifying associations between items in a transaction dataset. It is widely used in retail ...

Learn how to use the Apriori algorithm, a popular method for finding frequent item sets to perform market basket analysis in Python.