AIMC Topic: Support Vector Machine

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Determining domestic violence against women using machine learning methods: The case of Türkiye.

Journal of evaluation in clinical practice Oct 13, 2024
BACKGROUND: Domestic violence against women is a pervasive issue globally, representing a severe violation of human rights and a significant public health concern. The hidden nature of such violence and its frequent underreporting make it a critical ...
Female Risk Factors Young Adult Humans Machine Learning Algorithms Logistic Models Bayes Theorem Adult Domestic Violence Support Vector Machine Cross-Sectional Studies Middle Aged
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A support vector machine-based approach to guide the selection of a pseudo-reference region for brain PET quantification.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Oct 13, 2024
A Support Vector Machine (SVM) based approach was developed to identify a pseudo-reference region for brain PET scans with the aim of reducing interscan and intersubject variability. By training a binary linear SVM classifier with PET datasets from t...
Middle Aged Support Vector Machine Radiopharmaceuticals Positron-Emission Tomography Thiazoles Aged Alzheimer Disease Breast Neoplasms Aniline Compounds Humans Male Brain Female
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Prediction of urban surface water quality scenarios using hybrid stacking ensembles machine learning model in Howrah Municipal Corporation, West Bengal.

Journal of environmental management Oct 13, 2024
In the pursuit of understanding surface water quality for sustainable urban management, we created a machine learning modeling framework that utilized Random Forest (RF), Cubist, Extreme Gradient Boosting (XGB), Multivariate Adaptive Regression Splin...
India Support Vector Machine Machine Learning Water Quality
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Dielectric spectroscopy technology combined with machine learning methods for nondestructive detection of protein content in fresh milk.

Journal of food science Oct 11, 2024
To quickly achieve nondestructive detection of protein content in fresh milk, this study utilized a network analyzer and an open coaxial probe to analyze the dielectric spectra of milk samples at 100 frequency points within the 2-20 GHz range, focusi...
Milk Dielectric Spectroscopy Milk Proteins Support Vector Machine Decision Trees Least-Squares Analysis Machine Learning Algorithms Animals Cattle
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Machine learning-aided microRNA discovery for olive oil quality.

PloS one Oct 11, 2024
MicroRNAs (miRNAs) are key regulators of gene expression in plants, influencing various biological processes such as oil quality and seed development. Although, our knowledge about miRNAs in olive (Olea europaea L.) is progressing, with several miRNA...
RNA, Plant Machine Learning Olea Support Vector Machine Olive Oil MicroRNAs Gene Expression Regulation, Plant
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Comparative study of machine learning approaches integrated with genetic algorithm for IVF success prediction.

PloS one Oct 11, 2024
INTRODUCTION: IVF is a widely-used assisted reproductive technology with a consistent success rate of around 30%, and improving this rate is crucial due to emotional, financial, and health-related implications for infertile couples. This study aimed ...
Fertilization in Vitro Humans Machine Learning Support Vector Machine Neural Networks, Computer Female Algorithms Adult Pregnancy Male
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Machine learning models for predicting treatment response in infantile epilepsies.

Epilepsy & behavior : E&B Oct 10, 2024
UNLABELLED: Epilepsy stands as one of the prevalent and significant neurological disorders, representing a critical healthcare challenge. Recently, machine learning techniques have emerged as versatile tools across various healthcare domains, encompa...
Humans Machine Learning Prognosis Decision Trees Epilepsy Child, Preschool Drug Resistant Epilepsy Female Anticonvulsants Treatment Outcome Male Support Vector Machine Infant
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Support matrix machine: A review.

Neural networks : the official journal of the International Neural Network Society Oct 9, 2024
Support vector machine (SVM) is one of the most studied paradigms in the realm of machine learning for classification and regression problems. It relies on vectorized input data. However, a significant portion of the real-world data exists in matrix ...
Machine Learning Algorithms Support Vector Machine
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Analysis of nailfold capillaroscopy images with artificial intelligence: Data from literature and performance of machine learning and deep learning from images acquired in the SCLEROCAP study.

Microvascular research Oct 9, 2024
OBJECTIVE: To evaluate the performance of machine learning and then deep learning to detect a systemic scleroderma (SSc) landscape from the same set of nailfold capillaroscopy (NC) images from the French prospective multicenter observational study SC...
Scleroderma, Systemic Support Vector Machine Predictive Value of Tests Image Interpretation, Computer-Assisted France Nails Microscopic Angioscopy Male Middle Aged Deep Learning Reproducibility of Results Aged Adult Prospective Studies Female Humans
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Rapid diagnosis and recurrence prediction of choledocholithiasis disease using raw bile with machine learning assisted SERS.

Talanta Oct 9, 2024
Surface-enhanced Raman spectroscopy (SERS) analysis based on body fluids has been widely applied in disease diagnose. Choledocholithiasis is a widespread and often recurrent digestive system disease, with limited data on factors predicting its format...
Female Aged Male Humans Machine Learning Principal Component Analysis Choledocholithiasis Recurrence Bile Middle Aged Spectrum Analysis, Raman Support Vector Machine
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