Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Frontiers

Predicting food prices in Kenya using machine learning: a hybrid model approach with XGBoost and gradient boosting

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...
C&EN

Enhancing Engine Performance and Sustainability: Gold Nanoparticles and Machine Learning for Biodiesel Optimization in Compression Ignition Systems

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...
IEEE

Machine Learning with Spatial Context: Comparing Bayesian Geoadditive Regression Tree, Random Forest, and Gradient Boosting Machines for Gross Domestic Regional Product in ...

Abstract: This study aims to evaluate and compare the performance of five machine learning algorithms, namely Bayesian Additive Regression Trees (BART), Bayesian Geoadditive Regression Trees (BART ...
C&EN

A Machine Learning-Based Modeling Approach for Dye Removal Using Modified Natural Adsorbents

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study used machine learning models to investigate the potential of biosorbents ...
Frontiers

Construction and validation of a machine learning based prognostic prediction model for children with traumatic brain injury

Department of Pediatrics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Hennan, China Objective: This study aimed to establish a prediction model for the short-term prognosis of ...