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

Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China

Accurately quantifying forest volume and identifying its driving mechanisms are critical for achieving carbon neutrality objectives. Using data from the National Forest Inventory (NFI), plot-level ...
AOL

This Unique-Looking Stray Found In The Forests Of Puerto Rico Now Has A Loving Home In New York

A small, strikingly unique stray dog was discovered alone in the forests of Puerto Rico, and no one could have predicted the remarkable journey ahead—or the way she would quickly win the hearts of ...
Scientific Research Publishing

Optimization of Complex Spray Drying Operations in Manufacturing Using Machine Learning: Evaluating Techniques for Energy Efficiency and Product Quality Enhancement ()

This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
IEEE

Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk

Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...
Frontiers

A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support

Background: Decisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and ...
Scientific Research Publishing

Multi-Forest Trading Algorithm: A Novel Framework for Equity Price Prediction Using Disrupted Time-Series Data ()

The application of artificial intelligence in stock price forecasting is an important area of research at the intersection of finance and computer science, with machine learning techniques aimed at ...
IEEE

Output Power Prediction of Thermal Power Plants Based on Optimized Random Forest Algorithm

Abstract: Based on the operation data of a power plant with a rated power of 660MW unit in one week in January 2024, this paper proposes a prediction model of the random forest algorithm (AM-RF) with ...