AIMC Topic: 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.
Lung Gene Expression Profiling Sepsis Sequence Analysis, RNA Support Vector Machine Single-Cell Analysis Mice Databases, Genetic Humans Machine Learning Animals
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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...
Internet Consumer Behavior Commerce Algorithms Support Vector Machine Decision Making Humans Bayes Theorem Machine Learning
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Machine Learning Based Multi-Class Classification and Grading of Squamous Cell Carcinoma in Optical Microscopy.

Microscopy research and technique Jun 27, 2025
Histopathological tissue grading is critical for disease diagnosis and treatment, but manual grading is labor-intensive and time-consuming, requiring expert pathologists. This study presents an efficient analysis of squamous cell carcinoma (SCC) hist...
Microscopy Humans Support Vector Machine Neural Networks, Computer Bayes Theorem Deep Learning Machine Learning Neoplasm Grading Image Processing, Computer-Assisted Carcinoma, Squamous Cell
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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.
Parkinson Disease Image Interpretation, Computer-Assisted Middle Aged Support Vector Machine Magnetic Resonance Imaging Humans Aged Male 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...
Hepacivirus Humans Support Vector Machine Adult Hepatitis C Decision Trees Machine Learning Area Under Curve Male Early Diagnosis Female Middle Aged Bayes Theorem
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Kcc-ReHo and Cohe-ReHo in bipolar disorder: their associated genes and potential for diagnosis and treatment prediction.

Neuropharmacology Jun 25, 2025
The neural mechanisms underlying resting-state cerebral functional activity in bipolar disorder (BD) and the effects of pharmacotherapy on it remain unclear. This study investigated changes in local brain activity in BD patients (BDPs) following trea...
Humans Brain Female Middle Aged Young Adult Support Vector Machine Bipolar Disorder Adult Magnetic Resonance Imaging Male
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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 ...
Humans Neural Networks, Computer Female Risk Factors Aged Male Machine Learning Retrospective Studies Osteoporosis East Asian People Diabetes Mellitus, Type 2 Logistic Models Middle Aged Support Vector Machine 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.
Connectome Retinal Detachment Support Vector Machine Magnetic Resonance Imaging White Matter Adult Male Middle Aged Brain Humans Female Machine Learning
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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...
Hydrogen-Ion Concentration Environmental Monitoring Machine Learning Support Vector Machine Algorithms Models, Chemical Soil
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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 Young Adult Adult Retrospective Studies Male Glomerulonephritis, IGA Middle Aged Female Support Vector Machine
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