Devdiscourse

AI in critical care: Predictive algorithms can support sepsis decision-making

Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...
European Medical Journal

AI and Big Data in Surgery: Emerging Evidence from the Frontline

AI is rapidly reshaping the landscape of surgical oncology. However, its true potential lies not in isolated tools, but ...
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...
IEEE

An Efficient Speculative Federated Tree Learning System With a Lightweight NN-Based Predictor

Abstract: Federated tree-based models are popular in many real-world applications owing to their high accuracy and good interpretability. However, the classical synchronous method causes inefficient ...
Frontiers

Clinical problem selection for machine learning-based clinical decision support in the intensive care unit: complexity, actionability, and the way forward

Machine learning (ML)-based clinical decision support (CDS) in the intensive care unit (ICU) has the potential to improve medical decision-making and patient outcomes. The chasm between model ...
IEEE

A Data-Driven Approach to Gold Price Forecasting Using Supervised Learning: An Empirical Study with Decision Tree and Random Forest

Abstract: Predicting commodity prices like gold forms a central part of economic decision-making, investment plans, and economic policy formulation. This paper discusses the application and comparison ...