AIMC Topic: Support Vector Machine

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ADEPT: An advanced data exploration and processing tool for clinical data insights.

Computer methods and programs in biomedicine May 17, 2025
BACKGROUND AND OBJECTIVE: The rapid growth of clinical data creates challenges in analysis and interpretation for medical professionals. To address these issues, we developed the Advanced Data Exploration and Processing Tool (ADEPT), integrating data...
Area Under Curve Data Mining Logistic Models Support Vector Machine Cluster Analysis Software Algorithms Humans Machine Learning
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Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques.

Scientific reports May 7, 2025
This study aims to deepen the understanding and classification of tinnitus through a comprehensive analysis of EEG signals utilizing innovative microstate analysis techniques and cutting-edge machine learning approaches. EEG data were collected from ...
Support Vector Machine Electroencephalography Tinnitus Male Middle Aged Deep Learning Humans Female Adult
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Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

BMC cancer May 6, 2025
Non-coding RNAs (ncRNAs) play a crucial role in breast cancer progression, necessitating advanced computational approaches for precise disease classification. This study introduces a Deep Reinforcement Learning (DRL)-based framework for predicting nc...
Humans Prognosis Female RNA, Untranslated Computational Biology Breast Neoplasms Metaplasia Support Vector Machine Biomarkers, Tumor RNA, Long Noncoding Deep Learning
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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 Machine Learning Marketing
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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 ...
Humans Machine Learning Adult Risk Assessment Logistic Models Support Vector Machine Algorithms Pregnancy Female Bangladesh Pregnancy, High-Risk
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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...
Central Nervous System Cysts Meningeal Neoplasms Sella Turcica Craniopharyngioma Support Vector Machine Magnetic Resonance Imaging Pituitary Neoplasms Adenoma Diagnosis, Differential Meningioma Male Middle Aged Adolescent Young Adult Adult Humans Radiomics Female Aged Machine Learning Retrospective Studies
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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 ...
Machine Learning Seawater Oceans and Seas Radiation Monitoring Water Pollutants, Radioactive China Support Vector Machine Iodine Radioisotopes
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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.
Gastrointestinal Microbiome RNA, Ribosomal, 16S Dermatitis, Atopic Machine Learning Algorithms Support Vector Machine Humans
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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 SARS-CoV-2 Computational Biology 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 Risk Factors Humans Machine Learning Adolescent Male Suicidal Ideation Suicide Risk Assessment Support Vector Machine Depression
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