AIMC Topic: Support Vector Machine

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Prediction of axillary lymph node metastasis in triple negative breast cancer using MRI radiomics and clinical features.

Scientific reports Jul 1, 2025
To develop and validate a machine learning-based prediction model to predict axillary lymph node (ALN) metastasis in triple negative breast cancer (TNBC) patients using magnetic resonance imaging (MRI) and clinical characteristics. This retrospective...
Adult Radiomics Middle Aged Aged Young Adult Lymphatic Metastasis Magnetic Resonance Imaging Axilla Lymph Nodes Triple Negative Breast Neoplasms Support Vector Machine Humans Machine Learning Retrospective Studies Female
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Identification of key genes and development of an identifying machine learning model for sepsis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.] Jun 30, 2025
OBJECTIVE AND DESIGN: This study aims to identify key genes of sepsis and construct a model for sepsis identification through integrated multi-organ single-cell RNA sequencing (scRNA-seq) and machine learning.
Gene Expression Profiling Sepsis Single-Cell Analysis Animals Lung Databases, Genetic Mice Sequence Analysis, RNA Support Vector Machine Humans Machine Learning
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PloS one Jun 30, 2025
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...
Humans Machine Learning Consumer Behavior Decision Making Commerce Algorithms Bayes Theorem Support Vector Machine Internet
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

PloS one Jun 26, 2025
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy o...
Bayes Theorem Hepacivirus Hepatitis C Early Diagnosis Support Vector Machine Decision Trees Area Under Curve Male Middle Aged Humans Machine Learning Female Adult
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Modeling Soil pH at regional scale using environmental covariates and machine learning algorithm.

Environmental monitoring and assessment Jun 24, 2025
Soil pH serves as a critical indicator of soil chemistry and fertility, and mapping its spatial distribution holds significant importance for effective crop management. Digital soil mapping (DSM) is a commonly employed method for making rapid and cos...
Support Vector Machine Models, Chemical Hydrogen-Ion Concentration Algorithms Soil Environmental Monitoring Machine Learning
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Classification of primary glomerulonephritis using machine learning models: a focus on IgA nephropathy prediction.

BMC nephrology Jun 23, 2025
OBJECTIVE: IgA nephropathy (IgAN) is the most common form of glomerulonephritis worldwide, characterized by immune complex deposition in the glomerular mesangium, leading to mesangial hypercellularity, persistent microhematuria, proteinuria, and prog...
Humans Machine Learning Retrospective Studies Support Vector Machine Glomerulonephritis, IGA Adult Female Male Young Adult Middle Aged
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Heat loss evaluation for heating building envelope based on relevance vector machine.

PloS one Jun 18, 2025
Due to the influence of many factors, there is no reasonable evaluation method for the heat loss evaluation of the envelope, which leads to the deviation of the evaluation results of building energy consumption. By comparing different regression anal...
Regression Analysis Models, Theoretical Support Vector Machine Heating Hot Temperature
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Advancing breast cancer prediction: Comparative analysis of ML models and deep learning-based multi-model ensembles on original and synthetic datasets.

PloS one Jun 18, 2025
Breast cancer is a significant global health concern with rising incidence and mortality rates. Current diagnostic methods face challenges, necessitating improved approaches. This study employs various machine learning (ML) algorithms, including KNN,...
Support Vector Machine Humans Female Machine Learning Breast Neoplasms Algorithms Deep Learning
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Machine learning-based drought prediction using Palmer Drought Severity Index and TerraClimate data in Ethiopia.

PloS one Jun 18, 2025
Accurate drought prediction is essential for proactive water management and agricultural planning, especially in regions like Ethiopia that are highly susceptible to climate variability. This study investigates the classification of the Palmer Drough...
Soil Support Vector Machine Ethiopia Droughts Machine Learning
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Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences.

PloS one Jun 18, 2025
The prevalence of Leukaemia, a malignant blood cancer that originates from hematopoietic progenitor cells, is increasing in Southeast Asia, with a worrisome fatality rate of 54%. Predicting outcomes in the early stages is vital for improving the chan...
Leukemia, Myelogenous, Chronic, BCR-ABL Positive Support Vector Machine Humans Amino Acid Sequence Machine Learning Proto-Oncogene Proteins c-bcl-2
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