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Support Vector Machine

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A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers.

BMC medical informatics and decision making 40312383
Recent advances in artificial intelligence-based audio and speech processing have increasingly focused on the binary and multi-class classification of voice disorders. Despite progress, achieving high accuracy in multi-class classification remains ch...
Deep Learning Female Humans Male Support Vector Machine Voice Disorders
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Application of machine learning in predicting consumer behavior and precision marketing.

PloS one 40327711
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...
Consumer Behavior Humans Machine Learning Marketing Neural Networks, Computer Support Vector Machine
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Multifractal analysis and support vector machine for the classification of coronaviruses and SARS-CoV-2 variants.

Scientific reports 40301538
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 ...
Computational Biology Coronavirus COVID-19 Fractals Humans SARS-CoV-2 Support Vector Machine
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Suicide risk prediction for Korean adolescents based on machine learning.

Scientific reports 40295697
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...
Adolescent Depression Female Humans Machine Learning Male Republic of Korea Risk Assessment Risk Factors Suicidal Ideation Suicide Support Vector Machine
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[Construction of recognition models for subthreshold depression based on multiple machine learning algorithms and vocal emotional characteristics].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University 40294920
OBJECTIVES: To construct vocal recognition classification models using 6 machine learning algorithms and vocal emotional characteristics of individuals with subthreshold depression to facilitate early identification of subthreshold depression.
Algorithms Depression Emotions Female Humans Machine Learning Male Support Vector Machine Voice
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Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classification.

Briefings in bioinformatics 40329861
Small molecules have been playing a crucial role in drug discovery; however, some exhibit nonspecific inhibitory effects during hit screening due to the formation of colloidal aggregators. Such false positives often lead to significant research costs...
Algorithms Drug Discovery Humans Machine Learning ROC Curve Support Vector Machine
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Deep learning-based computational approach for predicting ncRNAs-disease associations in metaplastic breast cancer diagnosis.

BMC cancer 40329245
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...
Biomarkers, Tumor Breast Neoplasms Computational Biology Deep Learning Female Humans Metaplasia Prognosis RNA, Long Noncoding RNA, Untranslated Support Vector Machine
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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 40319246
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...
Adenoma Adolescent Adult Aged Central Nervous System Cysts Craniopharyngioma Diagnosis, Differential Female Humans Machine Learning Magnetic Resonance Imaging Male Meningeal Neoplasms Meningioma Middle Aged Pituitary Neoplasms Radiomics Retrospective Studies Sella Turcica Support Vector Machine Young Adult
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Prediction of high-risk pregnancy based on machine learning algorithms.

Scientific reports 40319080
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 ...
Adult Algorithms Bangladesh Female Humans Logistic Models Machine Learning Pregnancy Pregnancy, High-Risk Risk Assessment Support Vector Machine
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Identification of sorghum variety using hyperspectral technology with squeeze-and-excitation convolutional neural network algorithms.

Analytical methods : advancing methods and applications 40298281
In this study, hyperspectral technology along with a combination of squeeze-and-excitation convolutional neural networks and competitive adaptive reweighted sampling (CARS-SECNNet) was developed to identify sorghum varieties. In addition, the support...
Algorithms Convolutional Neural Networks Hyperspectral Imaging Neural Networks, Computer Sorghum Support Vector Machine Wavelet Analysis
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