AIMC Topic: Support Vector Machine

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Application of machine learning in predicting consumer behavior and precision marketing.

PloS one May 6, 2025
with the intensification of market competition and the complexity of consumer behavior, enterprises are faced with the challenge of how to accurately identify potential customers and improve user conversion rate. This paper aims to study the applicat...
Support Vector Machine Humans Neural Networks, Computer Consumer Behavior Marketing Machine Learning
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Prediction of high-risk pregnancy based on machine learning algorithms.

Scientific reports May 4, 2025
This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal health management. The study is based on the maternal ...
Support Vector Machine Bangladesh Pregnancy, High-Risk Adult Risk Assessment Logistic Models Humans Pregnancy Female Machine Learning Algorithms
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Radiomic study of common sellar region lesions differentiation in magnetic resonance imaging based on multi-classification machine learning model.

BMC medical imaging May 3, 2025
OBJECTIVE: Pituitary adenomas (PAs), craniopharyngiomas (CRs), Rathke's cleft cysts (RCCs), and tuberculum sellar meningiomas (TSMs) are common sellar region lesions with similar imaging characteristics, making differential diagnosis challenging. Thi...
Adult Radiomics Male Support Vector Machine Magnetic Resonance Imaging Middle Aged Adolescent Female Aged Young Adult Craniopharyngioma Humans Central Nervous System Cysts Machine Learning Meningioma Retrospective Studies Pituitary Neoplasms Meningeal Neoplasms Adenoma Sella Turcica Diagnosis, Differential
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Prediction of anthropogenic I in the South China Sea based on machine learning.

Journal of environmental radioactivity May 2, 2025
With the rapid increase in the number of nuclear power plants along the China coast and the potential for releases of radioactive substances to marine ecosystems, it is important to investigate and predict the dispersion of radionuclides in the seas ...
Support Vector Machine Iodine Radioisotopes Seawater Machine Learning China Oceans and Seas Radiation Monitoring Water Pollutants, Radioactive
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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.

Frontiers in immunology May 1, 2025
BACKGROUND: The "gut-skin axis" has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning framework to quantitatively screen key gut flora.
Dermatitis, Atopic Humans Machine Learning Algorithms Support Vector Machine Gastrointestinal Microbiome RNA, Ribosomal, 16S
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Fast and accurate discrimination analysis of Angelicae Pubescentis Radix using non-targeted analytical profiles images and two-dimensional convolution neural network.

Journal of chromatography. A Apr 30, 2025
This study developed an effective approach for discriminating geographical origins of Duhuo samples using non-targeted UPLC chromatograms and UV-Vis spectrogram images combined with a two-dimensional convolution neural network (2D-CNN). For compariso...
Neural Networks, Computer Reproducibility of Results Discriminant Analysis Chromatography, High Pressure Liquid Linear Models Support Vector Machine Spectrophotometry, Ultraviolet Drugs, Chinese Herbal Least-Squares Analysis
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Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants.

Scientific reports Apr 29, 2025
This study presents a novel approach for the classification of coronavirus species and variants of SARS-CoV-2 using Chaos Game Representation (CGR) and 2D Multifractal Detrended Fluctuation Analysis (2D MF-DFA). By extracting fractal parameters from ...
Coronavirus Humans COVID-19 Computational Biology SARS-CoV-2 Support Vector Machine Fractals
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Suicide risk prediction for Korean adolescents based on machine learning.

Scientific reports Apr 28, 2025
Traditional clinical risk assessment tools proved inadequate for reliably identifying individuals at high risk for suicidal behavior. As a result, machine learning (ML) techniques have become progressively incorporated into psychiatric care. This stu...
Republic of Korea Female Humans Risk Factors Adolescent Male Suicide Machine Learning Suicidal Ideation Risk Assessment Support Vector Machine Depression
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A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 27, 2025
Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanisms remain elusive. Early and accurate diagnosis is crucial for timely intervention and disease management. In this paper, a multi-strategy improved dun...
Humans Algorithms Female Aged Alzheimer Disease Male Image Interpretation, Computer-Assisted Cognitive Dysfunction Support Vector Machine
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Hybrid Neural network and machine learning models with improved optimization method for gut microbiome effects on the sleep quality in patients with endometriosis.

Computer methods and programs in biomedicine Apr 26, 2025
BACKGROUND AND OBJECTIVE: Endometriosis is a chronic gynecological condition known to affect the quality of life of millions of women globally, often manifesting with symptoms that impact sleep quality. Emerging evidence suggests a crucial role of th...
Neural Networks, Computer Machine Learning Female Quality of Life Life Style Gastrointestinal Microbiome Support Vector Machine Sleep Quality Adult Humans Endometriosis Middle Aged
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