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Support Vector Machine

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Decoding wheat contamination through self-assembled whole-cell biosensor combined with linear and non-linear machine learning algorithms.

Biosensors & bioelectronics Oct 21, 2024
The contamination of mycotoxins is a serious problem around the world. It has detrimental effects on human beings and leads to tremendous economic loss. It is essential to develop a rapid and non-destructive method for contamination recognition parti...
Fungi Biosensing Techniques Support Vector Machine Food Contamination Least-Squares Analysis Triticum Mycotoxins Neural Networks, Computer Machine Learning Algorithms Humans
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Machine Learning Algorithms Biomarkers Humans Diabetic Retinopathy Support Vector Machine Bayes Theorem Early Diagnosis Molecular Targeted Therapy Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks
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Autism Spectrum Disorder and Atypical Brain Connectivity: Novel Insights from Brain Connectivity-Associated Genes by Combining Random Forest and Support Vector Machine Algorithm.

Omics : a journal of integrative biology Oct 17, 2024
It is estimated that approximately one in every 100 children is diagnosed with autism spectrum disorder (ASD) around the globe. Currently, there are no curative pharmacological treatments for ASD. Discoveries on key molecular mechanisms of ASD are es...
Humans Transcriptome Random Forest Algorithms Brain Support Vector Machine Autism Spectrum Disorder Gene Expression Profiling
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Machine learning algorithms to predict treatment success for patients with pulmonary tuberculosis.

PloS one Oct 16, 2024
Despite advancements in detection and treatment, tuberculosis (TB), an infectious illness caused by the Mycobacterium TB bacteria, continues to pose a serious threat to world health. The TB diagnosis phase includes a patient's medical history, physic...
Male Retrospective Studies Tuberculosis, Pulmonary Humans Middle Aged Mycobacterium tuberculosis Support Vector Machine Machine Learning Treatment Outcome Female Sputum Algorithms Adult Antitubercular Agents
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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 Adult Support Vector Machine Bayes Theorem Cross-Sectional Studies Middle Aged Domestic Violence
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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 Alzheimer Disease Humans Positron-Emission Tomography Aniline Compounds Brain Aged Thiazoles Female Breast Neoplasms Male
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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...
Support Vector Machine Water Quality Machine Learning India
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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...
Dielectric Spectroscopy Milk Proteins Algorithms Machine Learning Animals Support Vector Machine Least-Squares Analysis Cattle Decision Trees Milk
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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...
Support Vector Machine MicroRNAs Olea Machine Learning Olive Oil Gene Expression Regulation, Plant RNA, 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 ...
Male Fertilization in Vitro Support Vector Machine Pregnancy Female Humans Adult Machine Learning Neural Networks, Computer Algorithms
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