EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Frontiers

A cross-sectional exploration of the dietary inflammation index association with cardiovascular disease in gout: application of machine learning algorithms

1 Department of Rheumatology and Chinese Medicine, The 962nd Hospital of the Chinese PLA, Harbin, China 2 Department of Rheumatology, People's Hospital Affiliated to Fujian University of Traditional ...
IEEE

Data Visualization and Prediction for Healthcare Purpose Using Random Forest Algorithm

Abstract: The paper aims to use data visualization and prediction techniques for diabetes using the Random Forest (RF) algorithm, enhancing the healthcare analytics process. It intends to explain the ...
Frontiers

A risk prediction model for neovascular glaucoma secondary to proliferative diabetic retinopathy based on Boruta feature selection and random forest

Background: Neovascular glaucoma (NVG) is one of the most severe complications of proliferative diabetic retinopathy (PDR), carrying a high risk of blindness. Establishing an effective risk prediction ...
Scientific Research Publishing

Salman, H.A., Kalakech, A. and Steiti, A. (2024) Random Forest Algorithm Overview. Babylonian Journal of Machine Learning, 2024, 69-79.

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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 ...
GitHub

Implement Random Forest Algorithm for Encrypted Traffic Classification

@IvanNardi As per our initial discussion: Is your feature request related to a problem? Please describe. Detecting malware and covert communications within encrypted traffic, especially when ...