AIMC Topic: Random Forest

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Improving methylmalonic acidemia (MMA) screening and MMA genotype prediction using random forest classifier in two Chinese populations.

European journal of medical research Nov 10, 2024
BACKGROUND: Methylmalonic acidemia (MMA) is one of the most common hereditary organic acid metabolism disorders that endangers the lives and health of infants and children. Early detection and intervention before the appearance of a newborn's clinica...
Neonatal Screening Amino Acid Metabolism, Inborn Errors Humans Machine Learning Female Genotype Infant, Newborn East Asian People Male China Random Forest
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MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random Forest.

IEEE transactions on neural networks and learning systems Oct 29, 2024
Increasing microRNAs (miRNAs) have been confirmed to be inextricably linked to various diseases, and the discovery of their associations has become a routine way of treating diseases. To overcome the time-consuming and laborious shortcoming of tradit...
Algorithms Computational Biology MicroRNAs Random Forest Disease Humans Neural Networks, Computer
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Autism Spectrum Disorder and Atypical Brain Connectivity: Novel Insights from Brain Connectivity-Associated Genes by Combining Random Forest and Support Vector Machine Algorithm.

Omics : a journal of integrative biology Oct 17, 2024
It is estimated that approximately one in every 100 children is diagnosed with autism spectrum disorder (ASD) around the globe. Currently, there are no curative pharmacological treatments for ASD. Discoveries on key molecular mechanisms of ASD are es...
Autism Spectrum Disorder Brain Gene Expression Profiling Transcriptome Humans Support Vector Machine Algorithms Random Forest
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Using random forest and biomarkers for differentiating COVID-19 and Mycoplasma pneumoniae infections.

Scientific reports Sep 30, 2024
The COVID-19 pandemic has underscored the critical need for precise diagnostic methods to distinguish between similar respiratory infections, such as COVID-19 and Mycoplasma pneumoniae (MP). Identifying key biomarkers and utilizing machine learning t...
Adult Diagnosis, Differential Humans Male Procalcitonin Retrospective Studies Machine Learning COVID-19 Middle Aged C-Reactive Protein Female Interleukin-6 Coinfection Random Forest ROC Curve SARS-CoV-2 Biomarkers Leukocyte Count Aged Pneumonia, Mycoplasma Mycoplasma pneumoniae
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Plant-based egg washes for use in baked goods: Machine learning and visual parameter analysis.

Journal of food science Sep 27, 2024
Pea protein is one potential environmentally sustainable way of recreating the functionality of eggs in coatings for baked goods. These coatings are commonly applied to enhance visual properties of baked goods that consumers desire, especially color ...
Neural Networks, Computer Cooking Glycerol Pattern Recognition, Visual Eggs Pisum sativum Random Forest Machine Learning Hydrogen-Ion Concentration Time Factors Plant Proteins Principal Component Analysis Color
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A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model.

Accident; analysis and prevention Sep 16, 2024
To effectively capture and explain complex, nonlinear relationships within bicycle crash frequency data and account for unobserved heterogeneity simultaneously, this study proposes a new hybrid framework that combines the Random Forest-based SHapley ...
Accidents, Traffic London Models, Statistical Bicycling Algorithms Regression Analysis Risk Factors Bayes Theorem Support Vector Machine Random Forest Humans Machine Learning
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DeepDBS: Identification of DNA-binding sites in protein sequences by using deep representations and random forest.

Methods (San Diego, Calif.) Sep 11, 2024
Interactions of biological molecules in organisms are considered to be primary factors for the lifecycle of that organism. Various important biological functions are dependent on such interactions and among different kinds of interactions, the protei...
Binding Sites Sequence Analysis, Protein Algorithms Deep Learning Protein Binding Computational Biology Random Forest Neural Networks, Computer Databases, Protein DNA-Binding Proteins DNA Amino Acid Sequence
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A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies.

JAMA health forum Sep 6, 2024
IMPORTANCE: During the COVID-19 pandemic, the effective distribution of limited treatments became a crucial policy goal. Yet, limited research exists using electronic health record data and machine learning techniques, such as policy learning trees (...
COVID-19 Retrospective Studies Electronic Health Records Female Humans Machine Learning Adult Male Middle Aged Severity of Illness Index Adolescent SARS-CoV-2 Hospitalization Aged Young Adult United States Food and Drug Administration Antibodies, Viral Health Policy COVID-19 Drug Treatment Antibodies, Monoclonal Health Care Rationing Random Forest Emergency Use Authorization
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Modelling bluetongue and African horse sickness vector (Culicoides spp.) distribution in the Western Cape in South Africa using random forest machine learning.

Parasites & vectors Aug 21, 2024
BACKGROUND: Culicoides biting midges exhibit a global spatial distribution and are the main vectors of several viruses of veterinary importance, including bluetongue (BT) and African horse sickness (AHS). Many environmental and anthropological factor...
Sheep Disease Outbreaks Horses Machine Learning Ceratopogonidae Climate Cattle Animals African Horse Sickness South Africa Insect Vectors Bluetongue Ecosystem Random Forest Bluetongue virus
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Lipidomics combined with random forest machine learning algorithms to reveal freshness markers for duck eggs during storage in different rearing systems.

Poultry science Aug 14, 2024
The differences in lipids in duck eggs between the 2 rearing systems during storage have not been fully studied. Herein, we propose untargeted lipidomics combined with a random forest (RF) algorithm to identify potential marker lipids based on ultra-...
Lipidomics Machine Learning Lipids Egg White Ducks Algorithms Ovum Food Storage Animals Random Forest Egg Yolk Animal Husbandry Tandem Mass Spectrometry
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