AIMC Topic: Support Vector Machine

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Intraoperative Assessment of Parathyroidectomy Outcomes via Autoencoder-Support-Vector-Machine-Assisted Label-Free Differential SERS Spectroscopy.

Nano letters Jun 30, 2025
Intraoperative guidance plays a pivotal role in enhancing surgical success rates and optimizing patients' prognosis. However, during surgery, the lack of reliable monitoring methods remains a critical challenge. Therefore, we developed an autoencoder...
Humans Parathyroidectomy Female Parathyroid Glands Male Autoencoder Spectrum Analysis, Raman Support Vector Machine
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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.
Databases, Genetic Mice Sequence Analysis, RNA Support Vector Machine Humans Machine Learning Animals Sepsis Single-Cell Analysis Lung Gene Expression Profiling
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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...
Commerce Algorithms Support Vector Machine Decision Making Bayes Theorem Internet Consumer Behavior Humans Machine Learning
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Explainable classification of Parkinson's disease with different motor subtypes by analyzing the synthetic MRI quantitative parameters of subcortical nuclei.

European journal of radiology Jun 27, 2025
OBJECTIVES: To explore differences in quantitative parameters of subcortical nuclei using synthetic MRI across different motor subtypes of Parkinson's Disease (PD), and to develop an interpretable model for distinguishing PD subtypes.
Support Vector Machine Magnetic Resonance Imaging Parkinson Disease Image Interpretation, Computer-Assisted Aged Male Middle Aged Humans Female Reproducibility of Results
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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 Adult Male Middle Aged Humans Machine Learning Female
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Construction of a novel online calculator for prediction of osteoporosis risk in Chinese type 2 diabetes patients.

Experimental gerontology Jun 24, 2025
BACKGROUND: Type 2 diabetes (T2D) has been established as an independent risk factor for osteoporosis, often resulting in a poor prognosis. Thus, it is crucial for clinicians to diagnose osteoporosis in diabetic patients. This study aimed to develop ...
Neural Networks, Computer Machine Learning Risk Factors Humans Aged Male Retrospective Studies Diabetes Mellitus, Type 2 Osteoporosis Logistic Models Female Support Vector Machine East Asian People Middle Aged Risk Assessment China
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Disrupted functional topology of the white matter connectome in rhegmatogenous retinal detachment: insights from graph theory and machine learning.

Neuroreport Jun 24, 2025
BACKGROUND: Rhegmatogenous retinal detachment (RRD) is known to induce functional alterations in the gray matter regions associated with vision. However, the impact of RRD on the white matter (WM) connectome remains largely unexplored.
Brain Female Adult Humans Machine Learning Magnetic Resonance Imaging White Matter Connectome Retinal Detachment Male Middle Aged Support Vector Machine
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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...
Algorithms Soil Environmental Monitoring Machine Learning Support Vector Machine Models, Chemical Hydrogen-Ion Concentration
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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...
Female Glomerulonephritis, IGA Male Young Adult Humans Middle Aged Adult Machine Learning Support Vector Machine Retrospective Studies
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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...
Heating Hot Temperature Models, Theoretical Support Vector Machine Regression Analysis
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