AIMC Topic: Support Vector Machine

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The effect of taxonomic, host-dependent features and sample bias on virus host prediction using machine learning and short sequence k-mers.

Scientific reports Aug 27, 2025
Metaviromic studies of potential emerging infection reservoirs led to discovery of many novel viruses. Since metaviromes contain viruses from target host, its food or other sources, fast and robust approaches are needed to predict hosts of unknown vi...
Machine Learning Support Vector Machine Plants Genome, Viral RNA Viruses Algorithms Animals Computational Biology
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Supervised model based polycystic ovarian syndrome detection in relation to vitamin d deficiency by exploring different feature selection techniques.

Scientific reports Aug 26, 2025
Due to urbanization and modern lifestyle, most of women in today's world are prone to Polycystic Ovarian Syndrome (PCOS), which is a hormonal disorder. Though the symptoms shown by this disease are often uncared, it seriously affects the reproductive...
Vitamin D Deficiency Female Humans Principal Component Analysis Adult Algorithms Polycystic Ovary Syndrome Support Vector Machine
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Optimized deep learning for brain tumor detection: a hybrid approach with attention mechanisms and clinical explainability.

Scientific reports Aug 26, 2025
Brain tumor classification (BTC) from Magnetic Resonance Imaging (MRI) is a critical diagnosis task, which is highly important for treatment planning. In this study, we propose a hybrid deep learning (DL) model that integrates VGG16, an attention mec...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Glioma Support Vector Machine Humans Brain Neoplasms Deep Learning
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Predicting acupuncture efficacy for neck pain based on functional connectivity features: a machine learning study.

Annals of medicine Aug 22, 2025
OBJECTIVE: To explore the mechanisms of acupuncture-induced neck pain relief and identify appropriate candidates using neuroimaging and machine learning techniques.
Humans Machine Learning Pain Measurement Brain Acupuncture Therapy Neuroimaging Female Male Support Vector Machine Adult Neck Pain Middle Aged Longitudinal Studies Treatment Outcome Magnetic Resonance Imaging
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Radiomics early assessment of post chemotherapy cardiotoxicity in cancer patients using 2D echocardiography imaging an interpretable machine learning study.

Scientific reports Aug 22, 2025
Cardiotoxicity is the loss of the heart muscle's ability to contract effectively, often due to chemotherapy or radiation therapy. This study uses interpretable machine learning to predict post-chemotherapy cardiotoxicity using radiomics features extr...
Middle Aged Neoplasms Antineoplastic Agents Support Vector Machine Cardiotoxicity Male Stroke Volume Aged Echocardiography Adult Radiomics Machine Learning Humans Female
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Altered brain structure age gap estimation in major depressive disorder patients with and without anhedonia: a machine learning-based study.

Translational psychiatry Aug 22, 2025
Previous studies have found that major depressive disorder (MDD) may accelerate overall structural brain aging. Nevertheless, it still remains unknown whether anhedonia, a critical negative prognostic indicator in MDD, further leads to advanced brain...
Young Adult Adult Male Machine Learning Brain Female Case-Control Studies Support Vector Machine Magnetic Resonance Imaging Anhedonia Aging Middle Aged Depressive Disorder, Major Humans White Matter
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Application of Raman spectroscopy and machine learning for determination of pro-toxicant activation in CYP2E1-expressing cells.

Analytical methods : advancing methods and applications Aug 21, 2025
Developing a convenient, accurate, and cost-effective analytical method for the detection of Cytochrome P450 (CYP) mediated drug bioactivation remains a challenge. The present study proposes a method using Raman spectroscopy (RS) combined with machin...
Cytochrome P-450 CYP2E1 Support Vector Machine Principal Component Analysis Humans Acetaminophen Machine Learning Spectrum Analysis, Raman
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Navigating tenses in Bengali sentences: A stacked ensemble model for enhanced prediction.

PloS one Aug 21, 2025
Tense classification in Bengali sentences is a fundamental yet unsolved problem of Bangla natural language processing (NLP) which is essential for tasks like machine translation, sentiment analysis, grammar correction, writing assistance and sentence...
Language Support Vector Machine Natural Language Processing Humans Linguistics Neural Networks, Computer
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An effective flowchart for multimodal brain tumor binary classification with ranked 3D texture features.

Scientific reports Aug 20, 2025
Brain tumors have complex structures, and their shape, density, and size can vary widely. Consequently, their accurate classification, which involves identifying features that best describe the tumor data, is challenging. Using classical 2D texture f...
ROC Curve Humans Support Vector Machine Imaging, Three-Dimensional Algorithms Magnetic Resonance Imaging Glioma Brain Neoplasms
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A study on the effectiveness of machine learning models for hepatitis prediction.

Scientific reports Aug 20, 2025
Hepatitis continues to be a major global health challenge, leading to high morbidity and mortality rates. Despite advances in diagnosis and treatment, early prediction of hepatitis outcomes remains an essential area for improvement. This study seeks ...
Male Middle Aged Support Vector Machine Humans Hepatitis Neural Networks, Computer Female Aged Machine Learning Adult Algorithms
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