AIMC Topic: Support Vector Machine

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The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules.

BMC cancer Jul 1, 2025
BACKGROUND AND AIMS: More cases of thyroid micro-nodules have been diagnosed annually in recent years because of advancements in diagnostic technologies and increased public health awareness. To explore the application value of various machine learni...
Bayes Theorem Male Middle Aged Tomography, X-Ray Computed Thyroid Neoplasms Female Aged Thyroid Nodule Humans Adult ROC Curve Machine Learning Support Vector Machine Algorithms Diagnosis, Differential
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Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study.

BMC medical imaging Jul 1, 2025
OBJECTIVE: This study aimed to develop and validate a predictive model to detect osteoporosis using radiomic features and machine learning (ML) approaches from lumbar spine computed tomography (CT) images during an abdominal CT examination.
Radiographic Image Interpretation, Computer-Assisted Lumbar Vertebrae Radiography, Abdominal Humans Male Aged Machine Learning Retrospective Studies Middle Aged Aged, 80 and over Osteoporosis Radiomics Tomography, X-Ray Computed ROC Curve Female Support Vector Machine
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A machine learning-based framework for predicting metabolic syndrome using serum liver function tests and high-sensitivity C-reactive protein.

Scientific reports Jul 1, 2025
Metabolic Syndrome (MetS) comprises a clustering of conditions that significantly increase the risk of heart disease, stroke, and diabetes. Timely detection and intervention are crucial in preventing severe health outcomes. In this study, we implemen...
Biomarkers Female Aged Adult Male Humans Metabolic Syndrome Middle Aged Aspartate Aminotransferases Neural Networks, Computer C-Reactive Protein Support Vector Machine Machine Learning Bilirubin Alanine Transaminase Algorithms Liver Function Tests
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AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients.

Scientific reports Jul 1, 2025
Visceral Leishmaniasis (VL), also known as Kala-Azar, poses a significant global public health challenge and is a neglected disease, with relapses and treatment failures leading to increased morbidity and mortality. This study introduces an explainab...
Recurrence Machine Learning Leishmaniasis, Visceral Female Support Vector Machine Humans Risk Factors Coinfection Adult Proportional Hazards Models Male Middle Aged HIV Infections
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EEG based real time classification of consecutive two eye blinks for brain computer interface applications.

Scientific reports Jul 1, 2025
Human eye blinks are considered a significant contaminant or artifact in electroencephalogram (EEG), which impacts EEG-based medical or scientific applications. However, eye blink detection can instead be transformed into a potential application of b...
Blinking Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Machine Learning Humans Neural Networks, Computer Young Adult Adult Male Support Vector Machine Brain Female
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Evaluation of different spectral indices for wheat lodging assessment using machine learning algorithms.

Scientific reports Jul 1, 2025
Wheat lodging is a recurrent phenomenon that significantly affects grain yield and impedes the harvesting efficiency. Therefore, the precise and rapid assessment of wheat lodging is crucial in minimizing its impact on grain yield and quality. Recentl...
Machine Learning Algorithms India Support Vector Machine Triticum
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection.

Scientific reports Jul 1, 2025
Schizophrenia is a mental disorder characterized by hallucinations, delusions, disorganized thinking and behavior, and inappropriate affect. Early and accurate diagnosis of schizophrenia remains a challenge due to the disorder's complex nature and th...
Algorithms Female Adult Male Humans Schizophrenia Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted
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Prediction of cardiovascular diseases based on GBDT+LR.

Scientific reports Jul 1, 2025
Currently, there are over 300 million patients with cardiovascular diseases in China. With the acceleration of population aging, the impact of cardiovascular diseases is becoming increasingly severe. Accurately and efficiently predicting the potentia...
Risk Assessment Humans Support Vector Machine Algorithms China Decision Trees Cardiovascular Diseases Logistic Models
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Comparative analysis of machine learning approaches for heatwave event prediction in India.

Scientific reports Jul 1, 2025
Heatwaves, are identified as prolonged durations of unusually high temperatures, which pose significant threats to human health, animal health and agriculture. With the increasing frequency and intensity of heatwaves driven by climate change, accurat...
Climate Change Extreme Heat Machine Learning India Humans Support Vector Machine Neural Networks, Computer
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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.

Scientific reports Jul 1, 2025
Accurate classification of biomedical signals is crucial for advancing non-invasive diagnostic methods, particularly for identifying gastrointestinal and related medical conditions where conventional techniques often fall short. An ensemble learning ...
Humans Neural Networks, Computer Fourier Analysis Ensemble Learning Palpation Percussion Machine Learning Algorithms Support Vector Machine Signal Processing, Computer-Assisted
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