AIMC Topic: Support Vector Machine

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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.
Adult Male Aging Middle Aged Risk Assessment Linear Models China Support Vector Machine Nutrition Surveys Age Factors Non-alcoholic Fatty Liver Disease Humans Machine Learning Biomarkers Female Aged
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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...
Support Vector Machine Biopsy, Fine-Needle Elasticity Imaging Techniques Female Aged Adult Radiomics Male Middle Aged Thyroid Neoplasms Thyroid Nodule Humans Machine Learning Prospective Studies
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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...
Baseball Athletic Injuries Adult Male Risk Assessment Logistic Models Support Vector Machine Rotation Upper Extremity Humans Artificial Intelligence Machine Learning Young Adult
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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...
Machine Learning Algorithms Female Aged Humans Logistic Models Support Vector Machine Internet Cathartics Aged, 80 and over Sensitivity and Specificity Male Colonoscopy
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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...
Brain Mapping Diagnosis, Differential Bipolar Disorder Support Vector Machine Magnetic Resonance Imaging Humans Brain Female Adult Male Middle Aged Depressive Disorder, Major
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Mapping acrylamide content in potato chips using near-infrared hyperspectral imaging and chemometrics.

Food chemistry Mar 9, 2025
This study investigated the potential of near-infrared hyperspectral imaging (NIR-HSI) for the prediction of acrylamide content in potato chips. A total of 300 tubers from two potato varieties (Agria and Jaerla) grown in two seasons and processed und...
Spectroscopy, Near-Infrared Support Vector Machine Cooking Acrylamide Plant Tubers Chemometrics Food Contamination Least-Squares Analysis Hyperspectral Imaging Solanum tuberosum
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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers.

International journal of molecular sciences Mar 8, 2025
Mild cognitive impairment (MCI) is a clinical condition characterized by a decline in cognitive ability and progression of cognitive impairment. It is often considered a transitional stage between normal aging and Alzheimer's disease (AD). This study...
Humans Machine Learning Proteomics Support Vector Machine Male Middle Aged Deep Learning Cognitive Dysfunction Biomarkers Female Aged Aged, 80 and over
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Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province.

Environmental monitoring and assessment Mar 8, 2025
Comprehensive and accurate acquisition of surface soil pH spatial distribution information is essential for monitoring soil degradation and providing scientific guidance for agricultural practices. This study focused on Heilongjiang Province in China...
Environmental Monitoring Support Vector Machine Machine Learning Models, Chemical Soil Hydrogen-Ion Concentration China
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The Application of Machine Learning Models to Predict Stillbirths.

Medicina (Kaunas, Lithuania) Mar 7, 2025
: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clinics for the detection of stillbirth and the predictive ability set of machine learning models for stillbirth. : The study retrospectively included all ...
Support Vector Machine Humans Stillbirth Machine Learning Retrospective Studies Female Pregnancy Adult Logistic Models
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Optimization of urban green space in Wuhan based on machine learning algorithm from the perspective of healthy city.

Frontiers in public health Mar 6, 2025
INTRODUCTION: Urban green spaces play a critical role in addressing health issues, ecological challenges, and uneven resource distribution in cities. This study focuses on Wuhan, where low green coverage rates and imbalanced green space allocation po...
Sustainable Development Urban Health China Linear Models Environment Design Cities Urban Renewal Random Forest Support Vector Machine Parks, Recreational
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