AIMC Topic: Support Vector Machine

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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...
Middle Aged Aged Support Vector Machine Spinal Cord Injuries Gait Young Adult Cauda Equina Syndrome Adult Male Humans Machine Learning Female
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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.
Female Risk Factors Aged Male Machine Learning Longitudinal Studies Algorithms Prognosis Cognitive Dysfunction Logistic Models Humans Renal Insufficiency, Chronic Middle Aged Neural Networks, Computer Support Vector Machine Risk Assessment China
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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 ...
Brain Female Humans Brain Mapping Young Adult Male Machine Learning Adult Bayes Theorem Support Vector Machine Pilots Magnetic Resonance Imaging Aviation
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Machine learning framework coupled with CADD for predicting sphingosine kinase 1 inhibitors.

Computers in biology and medicine Jun 4, 2025
Sphingosine kinase 1 (SphK1) plays a pivotal role in cancer progression, metastasis, and chemotherapy resistance, making it a key target for therapeutic interventions in cancer, cardiovascular diseases, and inflammation. Machine learning models, incl...
Humans Molecular Dynamics Simulation Enzyme Inhibitors Protein Kinase Inhibitors Phosphotransferases (Alcohol Group Acceptor) Machine Learning Molecular Docking Simulation Support Vector Machine
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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...
Support Vector Machine Principal Component Analysis Humans Algorithms Computer Simulation
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Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals.

NeuroImage Jun 3, 2025
Numerous studies have demonstrated that eyeblinks and other large artifacts can decrease the signal-to-noise ratio of EEG data, resulting in decreased statistical power for conventional univariate analyses. However, it is not clear whether eliminatin...
Signal Processing, Computer-Assisted Artifacts Evoked Potentials Humans Male Brain Support Vector Machine Female Electroencephalography Young Adult Adult
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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...
Adenoma, Pleomorphic ROC Curve Support Vector Machine Salivary Gland Neoplasms Algorithms Humans Adult Female Machine Learning Male Aged Middle Aged Ultrasonography
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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...
Machine Learning COVID-19 Prospective Studies Prognosis Humans Renal Insufficiency, Chronic Support Vector Machine Aged Male Middle Aged ROC Curve Female SARS-CoV-2 Risk Factors
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Improving cancer detection through computer-aided diagnosis: A comprehensive analysis of nonlinear and texture features in breast thermograms.

PloS one May 29, 2025
Breast cancer is a significant health issue for women, characterized by its high rates of mortality and sickness. However, its early detection is crucial for improving patient outcomes. Thermography, which measures temperature variations between heal...
Support Vector Machine Early Detection of Cancer Breast Nonlinear Dynamics Female Breast Neoplasms Diagnosis, Computer-Assisted Thermography Fractals Humans Neural Networks, Computer Machine Learning Algorithms
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An automatic approach for the classification of lumpy skin disease in cattle.

Tropical animal health and production May 28, 2025
Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming. Effective and accurate classification of LSD is essential for managing the disease and reducing its impacts. Manual diagnosis is time-consuming, lab...
Cattle Support Vector Machine Lumpy Skin Disease Machine Learning Algorithms Animals
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