AIMC Topic: Support Vector Machine

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XGBoost as a reliable machine learning tool for predicting ancestry using autosomal STR profiles - Proof of method.

Forensic science international. Genetics Nov 29, 2024
The aim of this study was to test the validity of a predictive model of ancestry affiliation based on Short Tandem Repeat (STR) profiles. Frequencies of 29 genetic markers from the Promega website for four distinct population groups (African American...
Genetics, Population DNA Fingerprinting Humans Machine Learning Support Vector Machine Decision Trees Racial Groups Boosting Machine Learning Algorithms Microsatellite Repeats
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Combining MRI radiomics and clinical features for early identification of drug-resistant epilepsy in people with newly diagnosed epilepsy.

Epilepsy & behavior : E&B Nov 29, 2024
OBJECTIVE: To identify newly diagnosed patients with drug-resistant epilepsy (DRE) based on radiomics and clinical features.
Young Adult Adult Sensitivity and Specificity Radiomics Humans Machine Learning Female Child Support Vector Machine Magnetic Resonance Imaging Drug Resistant Epilepsy Male Middle Aged Deep Learning Adolescent
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Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults.

Sensors (Basel, Switzerland) Nov 29, 2024
UNLABELLED: Community mobility, encompassing both active (e.g., walking) and passive (e.g., driving) transport, plays a crucial role in maintaining autonomy and social interaction among older adults. This study aimed to quantify community mobility in...
Aged Aged, 80 and over Male Geographic Information Systems Humans Female Independent Living Accidental Falls Support Vector Machine Walking Accelerometry
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Predicting the time to get back to work using statistical models and machine learning approaches.

BMC medical research methodology Nov 29, 2024
BACKGROUND: Whether machine learning approaches are superior to classical statistical models for survival analyses, especially in the case of lack of proportionality, is unknown.
Male Middle Aged Time Factors Support Vector Machine Models, Statistical Survival Analysis Proportional Hazards Models Return to Work Machine Learning Algorithms Female Adult Humans
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Mapping surface soil organic carbon density of cultivated land using machine learning in Zhengzhou.

Environmental geochemistry and health Nov 28, 2024
Research on soil organic carbon (SOC) is crucial for improving soil carbon sinks and achieving the "double-carbon" goal. This study introduces ten auxiliary variables based on the data from a 2021 land quality survey in Zhengzhou and a multi-objectiv...
Environmental Monitoring Support Vector Machine Carbon Carbon Sequestration Machine Learning Soil China
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Ultrasound Versus Elastography in the Diagnosis of Hepatic Steatosis: Evaluation of Traditional Machine Learning Versus Deep Learning.

Sensors (Basel, Switzerland) Nov 27, 2024
The prevalence of fatty liver disease is on the rise, posing a significant global health concern. If left untreated, it can progress into more serious liver diseases. Therefore, accurately diagnosing the condition at an early stage is essential for m...
Support Vector Machine Elasticity Imaging Techniques Middle Aged Deep Learning Ultrasonography Fatty Liver Female Adult Male Humans Neural Networks, Computer Machine Learning
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The efficacy of topological properties of functional brain networks in identifying major depressive disorder.

Scientific reports Nov 27, 2024
Major Depressive Disorder (MDD) is a common mental disorder characterized by cognitive impairment, and its pathophysiology remains to be explored. In this study, we aimed to explore the efficacy of brain network topological properties (TPs) in identi...
Magnetic Resonance Imaging Brain Mapping Connectome Nerve Net Case-Control Studies ROC Curve Support Vector Machine Humans Brain Female Young Adult Adult Male Middle Aged Depressive Disorder, Major
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Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.

Frontiers in public health Nov 27, 2024
BACKGROUND: Sub-Saharan Africa faces high neonatal and maternal mortality rates due to limited access to skilled healthcare during delivery. This study aims to improve the classification of health facilities and home deliveries using advanced machine...
Home Childbirth Adolescent Health Services Accessibility Support Vector Machine Health Facilities Delivery, Obstetric Africa, Eastern Choice Behavior Humans Female Machine Learning Young Adult Pregnancy Adult Prenatal Care
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Rapid detection of poultry meat quality using S-band to KU-band radio-frequency waves combined with machine learning-A proof of concept.

Journal of food science Nov 26, 2024
Rapid changes in consumer preferences for high-quality animal-based protein have driven the poultry industry to identify non-invasive, in-line processing technologies for rapid detection of muscle meat quality defects. At production plants, technolog...
Meat Food Handling Muscular Diseases Radio Waves Machine Learning Animals Chickens Support Vector Machine
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Integrating Remote Photoplethysmography and Machine Learning on Multimodal Dataset for Noninvasive Heart Rate Monitoring.

Sensors (Basel, Switzerland) Nov 26, 2024
Non-contact heart monitoring is crucial in advancing telemedicine, fitness tracking, and mass screening. Remote photoplethysmography (rPPG) is a non-contact technique to obtain information about heart pulse by analyzing the changes in the light inten...
Humans Machine Learning Algorithms Female Young Adult Adult Heart Rate Body Mass Index Support Vector Machine Monitoring, Physiologic Telemedicine Male Middle Aged Photoplethysmography
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