AIMC Topic: Random Forest

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Modeling student satisfaction in online learning using random forest.

Scientific reports Jul 2, 2025
The rapid expansion of online education has intensified the need to investigate the multifactorial determinants of university students' satisfaction with digital learning platforms. While prior studies have often examined technical or pedagogical com...
Young Adult Adult Male Machine Learning Learning Female Personal Satisfaction Random Forest Education, Distance Students Adolescent Universities Humans
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Improving brain tumor diagnosis: A self-calibrated 1D residual network with random forest integration.

Brain research May 26, 2025
Medical specialists need to perform precise MRI analysis for accurate diagnosis of brain tumors. Current research has developed multiple artificial intelligence (AI) techniques for the process automation of brain tumor identification. However, existi...
Artificial Intelligence Reproducibility of Results Brain Neoplasms Magnetic Resonance Imaging Random Forest Humans Neural Networks, Computer
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Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways.

Scientific reports May 22, 2025
Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Drug combinations have shown promising results in improving therapeutic outcomes, and many machine lea...
Drug Synergism Random Forest Models, Biological Humans Breast Neoplasms Machine Learning Antineoplastic Agents Female Signal Transduction
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Random forest algorithm for predicting tobacco use and identifying determinants among pregnant women in 26 sub-Saharan African countries: a 2024 analysis.

BMC public health Apr 23, 2025
INTRODUCTION: Tobacco use during pregnancy is a significant public health concern, associated with adverse maternal and neonatal outcomes. Despite its critical importance, comprehensive data on tobacco use among pregnant women in sub-Saharan Africa i...
Adult Adolescent Health Surveys Pregnant People Young Adult Humans Algorithms Machine Learning Random Forest Pregnancy Africa South of the Sahara Female Tobacco Use
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A random forest-based predictive model for classifying BRCA1 missense variants: a novel approach for evaluating the missense mutations effect.

Journal of human genetics Apr 18, 2025
The right classification of variants is the key to pre-symptomatic detection of disease and conducting preventive actions. Since BRCA1 has a high incidence and penetrance in breast and ovarian cancers, a high-performance predictive tool can be employ...
ROC Curve Genetic Predisposition to Disease Computational Biology Machine Learning Female Breast Neoplasms BRCA1 Protein Ovarian Neoplasms Random Forest Mutation, Missense Humans
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Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy.

Scientific reports Apr 18, 2025
This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and achieves higher accuracy than the baseline model....
Support Vector Machine Random Forest Heart Diseases Reproducibility of Results Logistic Models Humans Machine Learning Algorithms
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Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML.

Journal of chemical information and modeling Apr 15, 2025
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate. Different techniques are available to address the class i...
Machine Learning Algorithms Drug Discovery Drug Development Support Vector Machine Random Forest
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Infrared thermography of beef carcasses and random forest algorithm to predict temperature and pH of Longissimus thoracis on carcasses.

Meat science Apr 10, 2025
This study aimed to evaluate the use of infrared thermography (IRT) as a method for predicting the initial and ultimate temperature, as well as the pH, of the Longissimus thoracis in beef carcasses (LTBC). A total of 102 beef carcasses, consisting of...
Algorithms Temperature Hydrogen-Ion Concentration Red Meat Infrared Rays Cattle Muscle, Skeletal Thermography Random Forest Refrigeration Animals Male
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Artificial intelligence strategies based on random forests for detection of AI-generated content in public health.

Public health Apr 7, 2025
OBJECTIVES: To train and test a Random Forest machine learning model with the ability to distinguish AI-generated from human-generated textual content in the domain of public health, and public health policy.
Public Health Random Forest Supervised Machine Learning Humans Artificial Intelligence Machine Learning
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optRF: Optimising random forest stability by determining the optimal number of trees.

BMC bioinformatics Mar 31, 2025
Machine learning is frequently used to make decisions based on big data. Among these techniques, random forest is particularly prominent. Although random forest is known to have many advantages, one aspect that is often overseen is that it is a non-d...
Random Forest Algorithms Big Data Machine Learning Computational Biology Software
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