AIMC Topic: Support Vector Machine

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Abnormal heart sound recognition using SVM and LSTM models in real-time mode.

Scientific reports Mar 17, 2025
Cardiovascular diseases are non-communicable diseases that are considered the leading cause of death worldwide accounting for 17.9 million fatalities. Auscultation of heart sounds is the most common and valuable way of diagnosing heart diseases. Norm...
Phonocardiography Support Vector Machine Humans Neural Networks, Computer Signal Processing, Computer-Assisted Algorithms Wavelet Analysis Heart Sounds
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Low-cost sensor-based algal bloom labeling: a comparative study of SVM and logic methods.

Environmental monitoring and assessment Mar 17, 2025
This study explores a low-cost sensor system for real-time algae bloom detection and water management. Harmful algal blooms (HABs) threaten water quality, ecosystems, and public health. Traditional detection methods, like satellite imagery and unmann...
Remote Sensing Technology Environmental Monitoring Harmful Algal Bloom Support Vector Machine Chlorophyll Chlorophyll A
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Effectiveness of machine learning methods in detecting grooming: a systematic meta-analytic review.

Scientific reports Mar 15, 2025
This study presents a systematic review (SR) and meta-analysis (MA) on the use of machine learning (ML) methods for detecting online grooming, a form of manipulation and child sexual abuse. The SR identified 33 studies from IEEE, Web of Science, Scop...
Child Support Vector Machine Grooming Child Abuse, Sexual Humans Machine Learning Algorithms
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Optimizing fractionation schedules for de-escalation radiotherapy in head and neck cancers using deep reinforcement learning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Mar 14, 2025
PURPOSE: Patients with locally-advanced head and neck squamous cell carcinomas (HNSCCs), particularly those related to human papillomavirus (HPV), often achieve good locoregional control (LRC), yet they suffer significant toxicities from standard che...
Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Reinforcement Machine Learning Humans Deep Learning Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Support Vector Machine
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Integration of intratumoral and peritumoral CT radiomic features with machine learning algorithms for predicting induction therapy response in locally advanced non-small cell lung cancer.

BMC cancer Mar 13, 2025
OBJECTIVES: To extract intratumoral, peritumoral, and integrated intratumoral-peritumoral CT radiomic features, develop multi-source radiomic models using various machine learning algorithms to identify the optimal model, and integrate clinical facto...
Support Vector Machine Carcinoma, Non-Small-Cell Lung Tumor Burden Induction Chemotherapy Middle Aged Retrospective Studies Lung Neoplasms Tomography, X-Ray Computed Nomograms Female Treatment Outcome Adult Humans Aged Radiomics Machine Learning Male Algorithms
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Biological age prediction and NAFLD risk assessment: a machine learning model based on a multicenter population in Nanchang, Jiangxi, China.

BMC gastroenterology Mar 13, 2025
BACKGROUND: The objective was to develop a biological age prediction model (NC-BA) for the Chinese population to enrich the relevant studies in this population. And to investigate the association between accelerated age and NAFLD.
Humans China Machine Learning Nutrition Surveys Biomarkers Support Vector Machine Female Male Non-alcoholic Fatty Liver Disease Age Factors Aged Linear Models Aging Adult Middle Aged Risk Assessment
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ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning.

Scientific reports Mar 13, 2025
Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional diagnostic methods face challenges such as variability in expert opinions and limited integration of advanced imaging techniques. This prospective cohort...
Thyroid Neoplasms Thyroid Nodule Support Vector Machine Biopsy, Fine-Needle Elasticity Imaging Techniques Humans Adult Machine Learning Prospective Studies Radiomics Female Male Aged Middle Aged
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Enhanced personalized prediction of baseball-related upper extremity injuries through novel features and explainable artificial intelligence.

Journal of sports sciences Mar 12, 2025
Upper extremity injuries in baseball players demand advanced prevention. Our study analyzed clinical features using machine learning techniques to provide precise and individualized injury risk assessment and prediction. We recruited 98 baseball play...
Male Risk Assessment Logistic Models Support Vector Machine Machine Learning Young Adult Adult Rotation Upper Extremity Baseball Athletic Injuries Humans Artificial Intelligence
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Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool.

Annals of medicine Mar 11, 2025
BACKGROUND: Adequate bowel preparation is crucial for effective colonoscopy, especially in elderly patients who face a high risk of inadequate preparation. This study develops and validates a machine learning model to predict bowel preparation adequa...
Humans Machine Learning Algorithms Female Internet Male Cathartics Colonoscopy Logistic Models Support Vector Machine Aged Aged, 80 and over Sensitivity and Specificity
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Altered resting-state brain activity in patients with major depression disorder and bipolar disorder: A regional homogeneity analysis.

Journal of affective disorders Mar 11, 2025
BACKGROUND: Major Depressive Disorder (MDD) and Bipolar Disorder (BD) exhibit overlapping depressive symptoms, complicating their differentiation in clinical practice. Traditional neuroimaging studies have focused on specific regions of interest, but...
Humans Brain Female Adult Support Vector Machine Magnetic Resonance Imaging Brain Mapping Male Diagnosis, Differential Middle Aged Depressive Disorder, Major Bipolar Disorder
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