AIMC Topic: Support Vector Machine

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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Aged Adult Male Cardiovascular Diseases Algorithms Female Risk Factors Malaysia Bayes Theorem Heart Disease Risk Factors Middle Aged Risk Assessment Support Vector Machine Humans Machine Learning
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High-Sensitivity Detection of C-Peptide Biomarker for Diabetes by Solid-State Nanopore Using Machine Learning Identification.

The journal of physical chemistry letters Jun 15, 2025
Accurate and early detection of C-peptide, a stable biomarker indicative of diabetes, is crucial for disease diagnosis, treatment, and prevention. This study explores a novel detection methodology using solid-state nanopore technology coupled with ma...
Cattle Diabetes Mellitus Support Vector Machine C-Peptide Machine Learning Biomarkers Animals Nanopores Humans
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Robust Multiclass Feature Selection for the Authentication of Honey Botanical Origin via Nontargeted LC-MS Analysis.

Analytical chemistry Jun 11, 2025
Honey is one of the most frequently frauded foods due to the high market price of certain kinds of monofloral honey. Traditional authentication methods involving pollen or targeted analysis have limitations that can be manipulated by fraudsters. Nont...
Mass Spectrometry Chromatography, Liquid Liquid Chromatography-Mass Spectrometry Honey Machine Learning Support Vector Machine
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BanglaNewsClassifier: A machine learning approach for news classification in Bangla Newspapers using hybrid stacking classifiers.

PloS one Jun 9, 2025
Bangla news floods the web, and the need for smarter and more efficient classification techniques is greater than ever. Previous studies mostly focused on traditional models, overlooking the potential of hybrid techniques to handle the ever-growing c...
Algorithms Language Deep Learning Support Vector Machine Newspapers as Topic Humans Machine Learning
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Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome.

Scientific reports Jun 6, 2025
Incomplete tetraplegia, incomplete paraplegia, and cauda equina syndrome are major neurological disorders that significantly reduce patients' quality of life, primarily due to impaired motor function and gait instability. Although conventional neurol...
Male Middle Aged Support Vector Machine Cauda Equina Syndrome Gait Aged Humans Spinal Cord Injuries Machine Learning Young Adult Female Adult
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Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease.

PloS one Jun 5, 2025
BACKGROUND: The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.
Support Vector Machine Longitudinal Studies Prognosis Humans China Female Male Risk Factors Logistic Models Neural Networks, Computer Cognitive Dysfunction Middle Aged Aged Renal Insufficiency, Chronic Risk Assessment Machine Learning Algorithms
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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis.

PloS one Jun 5, 2025
The rapid advancement of the civil aviation industry has attracted significant attention to research on pilots. However, the brain changes experienced by flight cadets following their training remain, to some extent, an unexplored territory compared ...
Adult Male Support Vector Machine Bayes Theorem Pilots Magnetic Resonance Imaging Brain Mapping Machine Learning Brain Humans Aviation Female Young Adult
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Principal fitted component framework for robust support vector regression based on bounded loss: A simulation study with potential applications.

PloS one Jun 4, 2025
The inferential results regarding estimates of Support Vector Regression (SVR) are highly influenced by anomalies and ill-conditioned predictors. Excessive dimensions of data also make the model complex. To improve estimation accuracy, this paper int...
Computer Simulation Humans Support Vector Machine Algorithms Principal Component Analysis
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Machine learning model for preoperative classification of stromal subtypes in salivary gland pleomorphic adenoma based on ultrasound histogram analysis.

BMC oral health Jun 3, 2025
OBJECTIVES: Accurate preoperative discrimination of salivary gland pleomorphic adenoma (SPA) stromal subtypes is essential for therapeutic plannings. We aimed to establish and test machine learning (ML) models for classification of stromal subtypes i...
Salivary Gland Neoplasms Adenoma, Pleomorphic Ultrasonography Machine Learning ROC Curve Algorithms Support Vector Machine Female Humans Male Aged Middle Aged Adult
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Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.

International journal of medical sciences May 31, 2025
Chronic kidney disease (CKD) patients with coronavirus disease 2019 (COVID-19) are at significant risk of death. However, clinical identification of high-risk individuals remains suboptimal despite the recognition of many pathophysiological and como...
Humans Aged Male Middle Aged Support Vector Machine ROC Curve Machine Learning Prognosis Renal Insufficiency, Chronic SARS-CoV-2 COVID-19 Female Risk Factors Prospective Studies
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