AIMC Topic: Support Vector Machine

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Combining machine learning with external validation to explore necroptosis and immune response in moyamoya disease.

BMC immunology Feb 13, 2025
Moyamoya disease (MMD) is a rare chronic vascular disease leads to cognitive impairment and stroke with its etiology unknown. The relationship between necroptosis or necroinflammation and MMD pathogenesis was poorly understood. Differentially express...
Humans Machine Learning Gene Expression Profiling Support Vector Machine Necroptosis Protein Interaction Maps Gene Regulatory Networks Immunity Moyamoya Disease
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Use of machine learning algorithms to construct models of symptom burden cluster risk in breast cancer patients undergoing chemotherapy.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer Feb 13, 2025
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom burden clusters in breast cancer patients undergoing chemotherapy, and to determine an optimal model.
Decision Trees Predictive Value of Tests Symptom Burden ROC Curve Logistic Models Support Vector Machine Female Aged Adult Middle Aged Antineoplastic Agents Neural Networks, Computer Sensitivity and Specificity Humans Breast Neoplasms Machine Learning Algorithms
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

PloS one Feb 13, 2025
This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. Firstly, the data collected in this study come fr...
Random Forest Biomechanical Phenomena Pattern Recognition, Automated Humans Running Track and Field Convolutional Neural Networks Machine Learning Athletes Support Vector Machine Computer Simulation
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Discrimination of the Lame Limb in Horses Using a Machine Learning Method (Support Vector Machine) Based on Asymmetry Indices Measured by the EQUISYM System.

Sensors (Basel, Switzerland) Feb 12, 2025
Lameness detection in horses is a critical challenge in equine veterinary practice, particularly when symptoms are mild. This study aimed to develop a predictive system using a support vector machine (SVM) to identify the affected limb in horses trot...
Lameness, Animal Machine Learning Hindlimb Biomechanical Phenomena Animals Forelimb Gait Support Vector Machine Horses Horse Diseases
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Machine Learning-Driven Identification of Molecular Subgroups in Medulloblastoma via Gene Expression Profiling.

Clinical oncology (Royal College of Radiologists (Great Britain)) Feb 11, 2025
AIMS: Medulloblastoma (MB) is the most prevalent malignant brain tumour in children, characterised by substantial molecular heterogeneity across its subgroups. Accurate classification is pivotal for personalised treatment strategies and prognostic as...
Gene Expression Profiling Humans Child, Preschool Machine Learning Support Vector Machine Child Female Cerebellar Neoplasms Male Medulloblastoma
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Optimized machine learning approaches to combine surface-enhanced Raman scattering and infrared data for trace detection of xylazine in illicit opioids.

The Analyst Feb 10, 2025
Infrared absorption spectroscopy and surface-enhanced Raman spectroscopy were integrated into three data fusion strategies-hybrid (concatenated spectra), mid-level (extracted features from both datasets) and high-level (fusion of predictions from bot...
Analgesics, Opioid Illicit Drugs Spectrophotometry, Infrared Xylazine Machine Learning Spectrum Analysis, Raman Support Vector Machine
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Enhanced EEG-based cognitive workload detection using RADWT and machine learning.

Neuroscience Feb 7, 2025
Understanding cognitive workload improves learning performance and provides insights into human cognitive processes. Estimating cognitive workload finds practical applications in adaptive learning systems, brain-computer interfaces, and cognitive mon...
Electroencephalography Workload Wavelet Analysis Male Cognition Support Vector Machine Humans Machine Learning Brain Female Young Adult Adult
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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan.

Scientific reports Feb 6, 2025
Sorghum cultivation plays a pivotal role in addressing food insecurity in South Sudan, but persistent conflict continues to impose challenges in the agriculture sector therefore understanding the impact of conflict on sorghum yield prediction is impo...
Support Vector Machine Remote Sensing Technology Sorghum South Sudan Neural Networks, Computer Machine Learning Agriculture
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Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets.

Scientific reports Feb 6, 2025
Diabetes Mellitus (DM) is a global health challenge, and accurate early detection is critical for effective management. The study explores the potential of machine learning for improved diabetes prediction using microarray gene expression data and PI...
Diabetes Mellitus Support Vector Machine Islets of Langerhans Transplantation Humans Machine Learning Algorithms
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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset.

Scientific reports Feb 6, 2025
Asthma diagnosis poses challenges due to underreporting of symptoms, misdiagnoses, and limitations in existing diagnostic tests. Machine learning (ML) offers a promising avenue for addressing these challenges by leveraging demographic and clinical da...
United States Support Vector Machine Bayes Theorem Male Middle Aged Nutrition Surveys Humans Machine Learning Algorithms Adult Asthma Female Young Adult
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