AIMC Topic: Support Vector Machine

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Machine Learning Differentiates Between Benign and Malignant Parotid Tumors With Contrast-Enhanced Ultrasound Features.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons Oct 31, 2024
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is frequently used to distinguish benign parotid tumors (BPTs) from malignant parotid tumors (MPTs). Introducing machine learning may enable clinicians to preoperatively diagnose parotid tumors precisel...
Parotid Neoplasms Female Aged Adult Humans Machine Learning Retrospective Studies Sensitivity and Specificity Male Middle Aged Ultrasonography Support Vector Machine Contrast Media Diagnosis, Differential
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Surface-Enhanced Raman Scattering Combined with Machine Learning for Rapid and Sensitive Detection of Anti-SARS-CoV-2 IgG.

Biosensors Oct 29, 2024
This work reports an efficient method to detect SARS-CoV-2 antibodies in blood samples based on SERS combined with a machine learning tool. For this purpose, gold nanoparticles directly conjugated with spike protein were used in human blood samples t...
Algorithms Antibodies, Viral Support Vector Machine Humans Immunoglobulin G Spike Glycoprotein, Coronavirus Machine Learning Gold SARS-CoV-2 Spectrum Analysis, Raman COVID-19 Metal Nanoparticles
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Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals.

Sensors (Basel, Switzerland) Oct 29, 2024
Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and precise diagnosis to slow CAD progression. Electrocardiogram (ECG) and phonocardiogram (PCG), conveying abundant disease-related information, are prevalent...
Middle Aged Electrocardiography Support Vector Machine Signal Processing, Computer-Assisted Algorithms Humans Coronary Artery Disease Female Phonocardiography Neural Networks, Computer Male
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The phobic brain: Morphometric features correctly classify individuals with small animal phobia.

Psychophysiology Oct 28, 2024
Specific phobia represents an anxiety disorder category characterized by intense fear generated by specific stimuli. Among specific phobias, small animal phobia (SAP) denotes a particular condition that has been poorly investigated in the neuroscient...
Adult Animals Male Brain Female Young Adult Phobic Disorders Nerve Net Support Vector Machine Magnetic Resonance Imaging Gray Matter Humans
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Anomaly detection scheme for lung CT images using vector quantized variational auto-encoder with support vector data description.

Radiological physics and technology Oct 26, 2024
This study aims to develop an anomaly-detection scheme for lesions in CT images. Our database consists of lung CT images obtained from 1500 examinees. It includes 1200 normal and 300 abnormal cases. In this study, SVDD (Support Vector Data Descriptio...
Tomography, X-Ray Computed Lung Image Processing, Computer-Assisted Support Vector Machine Humans
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Combining Fiber Bragg Grating and Artificial Intelligence Technologies for Supporting Epidural Procedures.

IEEE transactions on bio-medical engineering Oct 25, 2024
OBJECTIVE: Loss of resistance (LOR) is a widely accepted method for performing epidural punctures in clinical settings. However, the risk of failure associated with LOR is still high. Solutions based either on Fiber Bragg grating sensors (FBG) or on ...
Signal Processing, Computer-Assisted Epidural Space Support Vector Machine Fiber Optic Technology Equipment Design Female Male Humans Artificial Intelligence
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Robust brain MRI image classification with SIBOW-SVM.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 24, 2024
Primary Central Nervous System tumors in the brain are among the most aggressive diseases affecting humans. Early detection and classification of brain tumor types, whether benign or malignant, glial or non-glial, is critical for cancer prevention an...
Support Vector Machine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Brain Brain Neoplasms Deep Learning
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QSPR modeling to predict surface tension of psychoanaleptic drugs using the hybrid DA-SVR algorithm.

Journal of molecular graphics & modelling Oct 23, 2024
A robust Quantitative Structure-Property Relationship (QSPR) model was presented to predict the surface tension property of psychoanaleptic (psychostimulant and antidepressant) drugs. A dataset of 112 molecules was utilized, and three feature selecti...
Support Vector Machine Models, Molecular Least-Squares Analysis Quantitative Structure-Activity Relationship Surface Tension Algorithms
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Decoding wheat contamination through self-assembled whole-cell biosensor combined with linear and non-linear machine learning algorithms.

Biosensors & bioelectronics Oct 21, 2024
The contamination of mycotoxins is a serious problem around the world. It has detrimental effects on human beings and leads to tremendous economic loss. It is essential to develop a rapid and non-destructive method for contamination recognition parti...
Humans Neural Networks, Computer Triticum Mycotoxins Fungi Support Vector Machine Food Contamination Machine Learning Least-Squares Analysis Algorithms Biosensing Techniques
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Gene Regulatory Networks Support Vector Machine Bayes Theorem Biomarkers Molecular Docking Simulation Gene Expression Profiling Early Diagnosis Molecular Targeted Therapy Machine Learning Algorithms Humans Diabetic Retinopathy
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