AIMC Topic: Support Vector Machine

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A novel machine learning architecture to improve classification of intermediate cases in health: workflow and case study for public health.

BMC bioinformatics Jul 16, 2025
BACKGROUND: The practice of medicine has evolved significantly during the past decade, with the emergence of Machine Learning (ML) that offers the opportunity of personalized patient-tailored care. However, ML models still face some challenges when c...
Algorithms Health Personnel SARS-CoV-2 Public Health Support Vector Machine Workflow Machine Learning Pandemics COVID-19 Humans Neural Networks, Computer
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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization.

Scientific reports Jul 16, 2025
With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to learn from data, detect trends, and make predictions. Software can adapt and improve with new information. Imaging scans leverage pattern recognition to p...
Computational Biology Support Vector Machine Tuberculosis Humans Machine Learning Algorithms Mycobacterium tuberculosis Molecular Sequence Annotation
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry.

Scientific reports Jul 16, 2025
Microscopic-Diffraction Imaging Flow Cytometry (MDIFC) is a high-throughput, stain-free technology that captures paired microscopic and diffraction images of cellular events, utilizing machine learning for the classification of cell subpopulations. H...
Algorithms Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Image Cytometry Microscopy Saccharomyces cerevisiae Support Vector Machine Saccharomycetales Flow Cytometry
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Automated multi-model framework for malaria detection using deep learning and feature fusion.

Scientific reports Jul 16, 2025
Malaria remains a critical global health challenge, particularly in tropical and subtropical regions. While traditional methods for diagnosis are effective, they face some limitations related to accuracy, time consumption, and manual effort. This stu...
Humans Algorithms Deep Learning Support Vector Machine Malaria
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Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Scientific reports Jul 15, 2025
Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need for precise X-ray image analysis in the medical and imaging fields. In this study, we present an advanced perceptual deep learning framework that extr...
Visual Perception Deep Learning Humans Image Processing, Computer-Assisted Female Support Vector Machine Breast Neoplasms
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Deep siamese residual support vector machine with applications to disease prediction.

Computers in biology and medicine Jul 14, 2025
Support Vector Machines (SVMs) excel in classification and regression tasks involving high-dimensional nonlinear data, boasting high accuracy, strong generalization ability, and robust performance. Particularly noteworthy is their outstanding perform...
Humans Neural Networks, Computer Algorithms Deep Learning Support Vector Machine
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A hybrid learning approach for MRI-based detection of alzheimer's disease stages using dual CNNs and ensemble classifier.

Scientific reports Jul 14, 2025
Alzheimer's Disease (AD) and related dementias are significant global health issues characterized by progressive cognitive decline and memory loss. Computer-aided systems can help physicians in the early and accurate detection of AD, enabling timely ...
Neural Networks, Computer Machine Learning Female Humans Magnetic Resonance Imaging Alzheimer Disease Aged Male Support Vector Machine
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Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.

PloS one Jul 14, 2025
Automated detection of emotional states through brain-computer interfaces (BCIs) offers significant potential for enhancing user experiences and personalizing services across domains such as mental health, adaptive learning and interactive entertainm...
Spectroscopy, Near-Infrared Prefrontal Cortex Support Vector Machine Emotions Supervised Machine Learning Humans Brain-Computer Interfaces Young Adult Adult Male Algorithms Female
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Comparative machine learning analysis for predicting organ tropism in breast cancer and identifying key gene signatures.

Computers in biology and medicine Jul 12, 2025
BACKGROUND: Breast cancer metastasis (BCM) metastasizes preferentially to certain organs. Important genetic markers can be used for early detection and treatment. Machine learning (ML) can efficiently handle gene expression data to enhance metastasis...
Female Breast Neoplasms Biomarkers, Tumor Humans Support Vector Machine Neural Networks, Computer Gene Expression Profiling Databases, Genetic Machine Learning Transcriptome Neoplasm Metastasis Gene Expression Regulation, Neoplastic
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography.

BMC pulmonary medicine Jul 12, 2025
BACKGROUND: Pulmonary nodules seen by computed tomography (CT) can be benign or malignant, and early detection is important for optimal management. The existing manual methods of identifying nodules have limitations, such as being time-consuming and ...
Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Algorithms Deep Learning Tomography, X-Ray Computed Support Vector Machine Humans Lung Neoplasms Multiple Pulmonary Nodules Neural Networks, Computer Solitary Pulmonary Nodule
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