AIMC Topic: Random Forest

Clear Filters Showing 141 to 150 of 186 articles

Prediction of coronary heart disease in gout patients using machine learning models.

Mathematical biosciences and engineering : MBE Dec 27, 2022
Growing evidence shows that there is an increased risk of cardiovascular diseases among gout patients, especially coronary heart disease (CHD). Screening for CHD in gout patients based on simple clinical factors is still challenging. Here we aim to b...
Neural Networks, Computer Gout Logistic Models Humans Random Forest Machine Learning
View on PubMed DOI

A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm.

Sensors (Basel, Switzerland) Dec 27, 2022
The failure of insulators may seriously threaten the safe operation of the power system, where the state detection of high-voltage insulators is a must for the normal and safe operation of the power system. Based on the data of insulators in aerial i...
Neural Networks, Computer Reproduction Algorithms Random Forest Support Vector Machine
View on PubMed DOI

Predicting Genetic Disorder and Types of Disorder Using Chain Classifier Approach.

Genes Dec 26, 2022
Genetic disorders are the result of mutation in the deoxyribonucleic acid (DNA) sequence which can be developed or inherited from parents. Such mutations may lead to fatal diseases such as Alzheimer's, cancer, Hemochromatosis, etc. Recently, the use ...
Artificial Intelligence Neoplasms Prognosis Humans Random Forest
View on PubMed DOI

Data-Driven Low-Frequency Oscillation Event Detection Strategy for Railway Electrification Networks.

Sensors (Basel, Switzerland) Dec 26, 2022
Low-frequency oscillations (LFO) occur in railway electrification systems due to the incorporation of new trains with switching converters. As a result, the increased harmonic content can cause catenary stability problems under certain conditions. Mo...
Random Forest Data Mining Support Vector Machine Bayes Theorem Algorithms Machine Learning
View on PubMed DOI

Emotion Detection Using Deep Normalized Attention-Based Neural Network and Modified-Random Forest.

Sensors (Basel, Switzerland) Dec 26, 2022
In the contemporary world, emotion detection of humans is procuring huge scope in extensive dimensions such as bio-metric security, HCI (human-computer interaction), etc. Such emotions could be detected from various means, such as information integra...
Artificial Intelligence Algorithms Neural Networks, Computer Random Forest Electroencephalography Emotions Humans
View on PubMed DOI

Integrating transformer and autoencoder techniques with spectral graph algorithms for the prediction of scarcely labeled molecular data.

Computers in biology and medicine Dec 23, 2022
In molecular and biological sciences, experiments are expensive, time-consuming, and often subject to ethical constraints. Consequently, one often faces the challenging task of predicting desirable properties from small data sets or scarcely-labeled ...
Algorithms Random Forest Support Vector Machine
View on PubMed DOI

Machine learning prediction of academic collaboration networks.

Scientific reports Dec 20, 2022
We investigate the different roles played by nodes' network and non-network attributes in explaining the formation of European university collaborations from 2011 to 2016, in three European Research Council (ERC) domains: Social Sciences and Humaniti...
Random Forest Neural Networks, Computer Algorithms Machine Learning Humans
View on PubMed DOI

Heterogeneous ensemble learning for enhanced crash forecasts - A frequentist and machine learning based stacking framework.

Journal of safety research Dec 14, 2022
INTRODUCTION: This study aims to increase the prediction accuracy of crash frequency on roadway segments that can forecast future safety on roadway facilities. A variety of statistical and machine learning (ML) methods are used to model crash frequen...
Random Forest Machine Learning Models, Statistical Algorithms Humans
View on PubMed DOI

Pragmatic screening for heart failure in the general population using an electrocardiogram-based neural network.

ESC heart failure Dec 8, 2022
AIMS: We aim to develop a pragmatic screening tool for heart failure at the general population level.
Humans Neural Networks, Computer Random Forest Heart Failure Electrocardiography Prospective Studies
View on PubMed DOI

Reliable prediction of cannabinoid receptor 2 ligand by machine learning based on combined fingerprints.

Computers in biology and medicine Nov 30, 2022
Cannabinoid receptors, as part of the family of the G protein-coupled receptors (GPCRs), are involved in various physiological functions. Its subtype cannabinoid receptor subtype 2 (CB2), mainly distributed in the periphery, is a crucial therapeutic ...
Receptors, Cannabinoid Random Forest Machine Learning Ligands
View on PubMed DOI
Popular Topics
Recent Journals