AIMC Topic: Support Vector Machine

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Identification of Crohn's Disease-Related Biomarkers and Pan-Cancer Analysis Based on Machine Learning.

Mediators of inflammation Apr 4, 2025
: In recent years, the incidence of Crohn's disease (CD) has shown a significant global increase, with numerous studies demonstrating its correlation with various cancers. This study aims to identify novel biomarkers for diagnosing CD and explore the...
Support Vector Machine Biomarkers, Tumor Humans Neoplasms Crohn Disease Machine Learning Gene Expression Profiling Biomarkers
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Effects of Renal Function on the Multimodal Brain Networks Affecting Mild Cognitive Impairment Converters in End-Stage Renal Disease.

Academic radiology Apr 3, 2025
RATIONALE AND OBJECTIVES: Cognitive decline is common in End-Stage Renal Disease (ESRD) patients, yet its neural mechanisms are poorly understood. This study investigates structural and functional brain network reconfiguration in ESRD patients transi...
Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Male Middle Aged Brain Disease Progression Kidney Failure, Chronic Humans Female Aged
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Predicting cell cycle stage from 3D single-cell nuclear-stained images.

Life science alliance Apr 3, 2025
The cell cycle governs the proliferation of all eukaryotic cells. Profiling cell cycle dynamics is therefore central to basic and biomedical research. However, current approaches to cell cycle profiling involve complex interventions that may confound...
Humans Neural Networks, Computer Cell Nucleus Cell Cycle Image Processing, Computer-Assisted Machine Learning Support Vector Machine Single-Cell Analysis Microscopy, Fluorescence Imaging, Three-Dimensional
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Predicting and investigating water quality index by robust machine learning methods.

Journal of environmental management Apr 3, 2025
This study addresses the critical challenges of waste management and water quality in urban environments, where accelerated urbanization has exacerbated environmental degradation and public health risks. Employing advanced machine learning algorithms...
Support Vector Machine Decision Trees Water Quality Waste Management Machine Learning Algorithms Environmental Monitoring
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Finger Vein Recognition Based on Unsupervised Spiking Convolutional Neural Network with Adaptive Firing Threshold.

Sensors (Basel, Switzerland) Apr 3, 2025
Currently, finger vein recognition (FVR) stands as a pioneering biometric technology, with convolutional neural networks (CNNs) and Transformers, among other advanced deep neural networks (DNNs), consistently pushing the boundaries of recognition acc...
Humans Neurons Convolutional Neural Networks Neural Networks, Computer Fingers Support Vector Machine Algorithms Veins Action Potentials Deep Learning
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Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.

Pharmaceutical research Apr 3, 2025
OBJECTIVE: Amorphous solid dispersion (ASD) is widely utilized to enhance the solubility and bioavailability of water-insoluble drugs. However, conventional experimental approaches for ASD development are often resource-intensive and time-consuming. ...
Drug Development Support Vector Machine Solubility High-Throughput Screening Assays Drug Compounding Crystallization Machine Learning Algorithms Drug Discovery X-Ray Diffraction Chemistry, Pharmaceutical Powder Diffraction
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Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles.

Neural networks : the official journal of the International Neural Network Society Apr 2, 2025
Multiview learning (MvL) is an advancing domain in machine learning, leveraging multiple data perspectives to enhance model performance through view-consistency and view-discrepancy. Despite numerous successful multiview-based support vector machine ...
Machine Learning Algorithms Humans Consensus Neural Networks, Computer Support Vector Machine
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Electrocardiographic Discrimination of Long QT Syndrome Genotypes: A Comparative Analysis and Machine Learning Approach.

Sensors (Basel, Switzerland) Apr 2, 2025
Long QT syndrome (LQTS) presents a group of inheritable channelopathies with prolonged ventricular repolarization, leading to syncope, ventricular tachycardia, and sudden death. Differentiating LQTS genotypes is crucial for targeted management and tr...
Electrocardiography Support Vector Machine Long QT Syndrome Adult Male Genotype Humans Machine Learning Female
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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques.

Scientific reports Apr 2, 2025
Ventilator-associated pneumonia significantly increases morbidity, mortality, and healthcare costs among patients with traumatic brain injury. Accurately predicting risk can facilitate earlier interventions and improve patient outcomes. This study le...
Support Vector Machine Brain Injuries, Traumatic Pneumonia, Ventilator-Associated Adult Male Middle Aged Female Risk Factors Aged Machine Learning Algorithms Humans
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Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children.

Scientific reports Apr 2, 2025
Disseminated intravascular coagulation (DIC) is a thrombo-hemorrhagic disorder that can be life-threatening in critically ill children, and the quest for an accurate and efficient method for early DIC prediction is of paramount importance. Candidate ...
Infant Adolescent Child, Preschool Female Infant, Newborn Male Disseminated Intravascular Coagulation Child Logistic Models Support Vector Machine Humans Machine Learning Critical Illness
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