AIMC Topic: Random Forest

Clear Filters Showing 11 to 20 of 186 articles

A hybrid approach with metaheuristic optimization and random forest in improving heart disease prediction.

Scientific reports Mar 31, 2025
Cardiovascular diseases (CVD)  a major cause of morbidity and mortality among the world's non-communicable disease incidences. Though these practices are in use for diagnostics of different CVDs in clinical settings, need improvement because they are...
Humans Machine Learning Algorithms Random Forest Heart Diseases
View on PubMed DOI

SGA-Driven feature selection and random forest classification for enhanced breast cancer diagnosis: A comparative study.

Scientific reports Mar 30, 2025
In this study, we propose a novel approach for breast cancer classification that integrates the Seagull Optimization Algorithm (SGA) for feature selection with the Random Forest (RF) classifier for effective data classification. The novelty of our ap...
Random Forest Breast Neoplasms Computational Biology Support Vector Machine Humans Algorithms Female
View on PubMed DOI

Evaluating the performance of random forest, support vector machine, gradient tree boost, and CART for improved crop-type monitoring using greenest pixel composite in Google Earth Engine.

Environmental monitoring and assessment Mar 19, 2025
The development of machine learning algorithms, along with high-resolution satellite datasets, aids in improved agriculture monitoring and mapping. Nevertheless, the use of high-resolution optical satellite datasets is usually constrained by clouds a...
Satellite Imagery Support Vector Machine Random Forest Crops, Agricultural Machine Learning Algorithms India Agriculture Environmental Monitoring
View on PubMed DOI

Enhancing HCV NS3 Inhibitor Classification with Optimized Molecular Fingerprints Using Random Forest.

International journal of molecular sciences Mar 17, 2025
The classification of Hepatitis C virus (HCV) NS3 inhibitors is essential for identifying potential antiviral agents through computational methods. This study aims to develop an optimized machine learning (ML) model using random forest (RF) and molec...
Nucleoside-Triphosphatase Protease Inhibitors DEAD-box RNA Helicases Viral Proteases Hepacivirus Serine Endopeptidases Viral Nonstructural Proteins Humans Machine Learning Drug Discovery Antiviral Agents Random Forest
View on PubMed DOI

Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering.

PloS one Mar 11, 2025
To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. Firstly, based on operational r...
Random Forest Risk Assessment Humans Fuzzy Logic Algorithms Cluster Analysis
View on PubMed DOI

Application of the random forest algorithm to predict skilled birth attendance and identify determinants among reproductive-age women in 27 Sub-Saharan African countries; machine learning analysis.

BMC public health Mar 6, 2025
INTRODUCTION: Maternal mortality refers to a mother's death owing to complications arising from childbirth or pregnancy. This issue is a forefront public health challenge around the globe which is pronounced in low- and middle-income countries, parti...
Humans Machine Learning Young Adult Adult Adolescent Algorithms Pregnancy Female Maternal Mortality Random Forest Africa South of the Sahara Midwifery
View on PubMed DOI

Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city.

Frontiers in public health Mar 6, 2025
INTRODUCTION: Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution in cities. This study focuses on Wuhan, where low green coverage rates and imbalanced green space allocation po...
Parks, Recreational Urban Health Urban Renewal Sustainable Development Environment Design China Linear Models Random Forest Cities Support Vector Machine
View on PubMed DOI

Classifying metro drivers' cognitive distractions during manual operations using machine learning and random forest-recursive feature elimination.

Scientific reports Mar 4, 2025
Metro drivers are more likely to trigger accidents if they suffer from cognitive distractions during manual driving. However, identifying metro drivers' cognitive distractions faces challenges as generally no obvious behavior can be found during the ...
Automobile Driving Random Forest Attention Heart Rate Algorithms Female Adult Male Humans Cognition Machine Learning Electrocardiography
View on PubMed DOI

Near-infrared spectroscopy assisted by random forest for predicting the physicochemical indicators of yak milk powder.

Food chemistry Mar 1, 2025
High-efficiency and cost-effective detection of physicochemical indicators is essential for the quality control of yak milk powder. Herein, a rapid and simultaneous detection method based on miniaturized near-infrared (NIR) spectroscopy and chemometr...
Animals Spectroscopy, Near-Infrared Cattle Milk Milk Proteins Random Forest Powders Fats Quality Control
View on PubMed DOI

Machine-learning random forest algorithms predict post-cycloplegic myopic corrections from noncycloplegic clinical data.

Optometry and vision science : official publication of the American Academy of Optometry Feb 24, 2025
SIGNIFICANCE: Machine learning random forest algorithms were used to predict objective refractive outcomes after cycloplegic refraction using noncycloplegic clinical data. A classification model predicted post-cycloplegic myopia and could be useful i...
Mydriatics Humans Machine Learning Middle Aged Adolescent Refraction, Ocular Visual Acuity Adult Myopia Random Forest Algorithms Cross-Sectional Studies Female Male Young Adult
View on PubMed DOI
Popular Topics
Recent Journals