AIMC Topic: Support Vector Machine

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Predicting Intra- and Postpartum Hemorrhage through Artificial Intelligence.

Medicina (Kaunas, Lithuania) Sep 30, 2024
: Intra/postpartum hemorrhage stands as a significant obstetric emergency, ranking among the top five leading causes of maternal mortality. The aim of this study was to assess the predictive performance of four machine learning algorithms for the pre...
Adult Sensitivity and Specificity Support Vector Machine Prospective Studies Postpartum Hemorrhage Humans Pregnancy Artificial Intelligence Female Predictive Value of Tests Algorithms Bayes Theorem
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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...
Algorithms Triticum 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...
Fruit Plant Diseases Pyrus Algorithms Neural Networks, Computer Spectrum Analysis, Raman Support Vector Machine
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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.
Humans Support Vector Machine Male Magnetic Resonance Imaging Machine Learning Adolescent Brain Injuries Consciousness Disorders Prognosis Child, Preschool Female Child
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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...
Respiration Mindfulness Bayes Theorem Electroencephalography Rest Male Stress, Psychological Support Vector Machine Brain Female Young Adult Adult Humans Machine Learning Algorithms
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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 ...
Frail Elderly Geriatric Assessment Male Support Vector Machine Frailty Hospitalization Aged Aged, 80 and over Machine Learning Female Humans
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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 Gene Expression Profiling ROC Curve Lung Neoplasms Adenocarcinoma of Lung Humans Prognosis Biomarkers, Tumor Machine Learning Algorithms
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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 ...
Algorithms Female Male China Humans Machine Learning Logistic Models Child, Preschool Support Vector Machine Child Rhinitis, Allergic ROC Curve
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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 ...
Female Aged Male Middle Aged Humans Machine Learning Retrospective Studies Logistic Models Support Vector Machine Kidney Failure, Chronic Cause of Death Renal Dialysis Cohort Studies Time Factors
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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 Population Growth Support Vector Machine Florida Climate Change
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