New Australian research has identified simultaneous abnormalities across multiple biological systems in people with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Key findings of a ...

Heng et al. apply a multi-omics approach combining analyses of energy metabolism, immune cell composition, and plasma proteomics. They reveal altered energy metabolism and immune profiles, alongside ...

As Canada moves toward stronger AI regulation with the proposed Artificial Intelligence and Data Act (AIDA), its southern neighbour appears to be taking the opposite approach. AIDA, part of Bill C-27, ...

Decision trees are among the most intuitive machine learning algorithms. They mimic human decision-making by splitting data based on conditions, making them highly interpretable. However, not all ...

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 ...

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, ...

In this study, we were aimed to identify important variables via machine learning algorithms and predict postoperative delirium (POD) occurrence in older patients. This study was to make the secondary ...

Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically ...

Abstract: Considering both the tracking safety of multi-HSTs and the operational efficiency of a single HST, intelligent safe driving methods (ISDMs) are proposed to obtain better speed- distance ...

Asian dust (AD) events, global dust transport events, have increased over the last 20 years due to global climate change and desertification 1,2,3. East Asia is a major source region of global ...