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Support Vector Machine

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Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes.

Scientific reports Sep 30, 2024
This study aimed to classifying wheat genotypes using support vector machines (SVMs) improved with ensemble algorithms and optimization techniques. Utilizing data from 302 wheat genotypes and 14 morphological attributes to evaluate six SVM kernels: l...
Triticum Algorithms Genotype Support Vector Machine
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Nondestructive Detection of Corky Disease in Symptomless 'Akizuki' Pears via Raman Spectroscopy.

Sensors (Basel, Switzerland) Sep 29, 2024
'Akizuki' pear ( Nakai) corky disease is a physiological disease that strongly affects the fruit quality of 'Akizuki' pear and its economic value. In this study, Raman spectroscopy was employed to develop an early diagnosis model by integrating suppo...
Pyrus Support Vector Machine Neural Networks, Computer Algorithms Fruit Spectrum Analysis, Raman Plant Diseases
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Predicting Long-Term Outcome of Prolonged Disorder of Consciousness in Children Through Machine Learning Based on Conventional Structural Magnetic Resonance Imaging.

Neurorehabilitation and neural repair Sep 28, 2024
BACKGROUND: The prognosis of prolonged disorders of consciousness (pDoC) in children has consistently posed a formidable challenge in clinical decision-making.
Adolescent Child, Preschool Child Brain Injuries Consciousness Disorders Support Vector Machine Magnetic Resonance Imaging Prognosis Female Male Humans Machine Learning
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Classification of mindfulness experiences from gamma-band effective connectivity: Application of machine-learning algorithms on resting, breathing, and body scan.

Computer methods and programs in biomedicine Sep 28, 2024
BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness, achieving stress reduction and emotion regulation through brain-function alteration. Literature has shown that electroencephalography (EEG)-derived c...
Stress, Psychological Humans Mindfulness Young Adult Algorithms Electroencephalography Support Vector Machine Machine Learning Adult Bayes Theorem Rest Brain Male Respiration Female
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The application of machine learning for identifying frailty in older patients during hospital admission.

BMC medical informatics and decision making Sep 27, 2024
BACKGROUND: Early identification of frail patients and early interventional treatment can minimize the frailty-related medical burden. This study investigated the use of machine learning (ML) to detect frailty in hospitalized older adults with acute ...
Male Support Vector Machine Hospitalization Frailty Aged Humans Frail Elderly Aged, 80 and over Machine Learning Geriatric Assessment Female
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Development and validation of machine learning models for diagnosis and prognosis of lung adenocarcinoma, and immune infiltration analysis.

Scientific reports Sep 27, 2024
The aim of our study was to develop robust diagnostic and prognostic models for lung adenocarcinoma (LUAD) using machine learning (ML) techniques, focusing on early immune infiltration. Feature selection was performed on The Cancer Genome Atlas (TCGA...
Gene Expression Regulation, Neoplastic Support Vector Machine Lymphocytes, Tumor-Infiltrating Adenocarcinoma of Lung Gene Expression Profiling ROC Curve Lung Neoplasms Algorithms Prognosis Biomarkers, Tumor Humans Machine Learning
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Interpretable machine learning for allergic rhinitis prediction among preschool children in Urumqi, China.

Scientific reports Sep 27, 2024
This study aimed to investigate the advantages and applications of machine learning models in predicting the risk of allergic rhinitis (AR) in children aged 2-8, compared to traditional logistic regression. The study analyzed questionnaire data from ...
China Child, Preschool Child Algorithms Female Male Rhinitis, Allergic ROC Curve Logistic Models Support Vector Machine Humans Machine Learning
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Interpretable machine learning models for the prediction of all-cause mortality and time to death in hemodialysis patients.

Therapeutic apheresis and dialysis : official peer-reviewed journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy Sep 26, 2024
INTRODUCTION: The elevated mortality and hospitalization rates among hemodialysis (HD) patients underscore the necessity for the development of accurate predictive tools. This study developed two models for predicting all-cause mortality and time to ...
Aged Male Middle Aged Machine Learning Logistic Models Retrospective Studies Humans Renal Dialysis Support Vector Machine Female Cohort Studies Kidney Failure, Chronic Time Factors Cause of Death
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Beach nourishment for coastal aquifersimpacted by climate change and population growth using machine learning approaches.

Journal of environmental management Sep 26, 2024
Groundwater in coastal regions is threatened by saltwater intrusion (SWI). Beach nourishment is used in this study to manage SWI in the Biscayne aquifer, Florida, USA, using a 3D SEAWAT model nourishment considering the future sea level rise and fres...
Neural Networks, Computer Machine Learning Groundwater Florida Support Vector Machine Climate Change Population Growth
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Drug-induced torsadogenicity prediction model: An explainable machine learning-driven quantitative structure-toxicity relationship approach.

Computers in biology and medicine Sep 26, 2024
Drug-induced Torsade de Pointes (TdP), a life-threatening polymorphic ventricular tachyarrhythmia, emerges due to the cardiotoxic effects of pharmaceuticals. The need for precise mechanisms and clinical biomarkers to detect this adverse effect presen...
Algorithms Support Vector Machine Models, Biological Torsades de Pointes Drug-Related Side Effects and Adverse Reactions Quantitative Structure-Activity Relationship Humans Machine Learning
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