AIMC Topic: Support Vector Machine

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Exploration of designing an automatic classifier for questions containing code snippets-A case study of Oracle SQL certification exam questions.

PloS one Jan 9, 2025
This study uses the Oracle SQL certification exam questions to explore the design of automatic classifiers for exam questions containing code snippets. SQL's question classification assigns a class label in the exam topics to a question. With this cl...
Educational Measurement Support Vector Machine Certification Humans Machine Learning
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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

PloS one Jan 9, 2025
Heart disease remains a leading cause of mortality and morbidity worldwide, necessitating the development of accurate and reliable predictive models to facilitate early detection and intervention. While state of the art work has focused on various ma...
Decision Trees Bayes Theorem Stroke ROC Curve Support Vector Machine Voting Humans Machine Learning Algorithms
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Utilizing natural language processing to identify pediatric patients experiencing status epilepticus.

Seizure Jan 8, 2025
PURPOSE: Compare the identification of patients with established status epilepticus (ESE) and refractory status epilepticus (RSE) in electronic health records (EHR) using human review versus natural language processing (NLP) assisted review.
Status Epilepticus Support Vector Machine Natural Language Processing Young Adult Male Machine Learning Infant Adolescent Humans Electronic Health Records Child, Preschool Female Child
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Boosting skin cancer diagnosis accuracy with ensemble approach.

Scientific reports Jan 8, 2025
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imagi...
Machine Learning Algorithms Skin Neoplasms Humans Neural Networks, Computer Dermoscopy Support Vector Machine
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An Intelligent System for Classifying Patient Complaints Using Machine Learning and Natural Language Processing: Development and Validation Study.

Journal of medical Internet research Jan 8, 2025
BACKGROUND: Accurate classification of patient complaints is crucial for enhancing patient satisfaction management in health care settings. Traditional manual methods for categorizing complaints often lack efficiency and precision. Thus, there is a g...
Humans Machine Learning Algorithms Support Vector Machine Natural Language Processing Patient Satisfaction
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An efficient smart phone application for wheat crop diseases detection using advanced machine learning.

PloS one Jan 8, 2025
Globally, agriculture holds significant importance for human food, economic activities, and employment opportunities. Wheat stands out as the most cultivated crop in the farming sector; however, its annual production faces considerable challenges fro...
Support Vector Machine Triticum Pakistan Mobile Applications Agriculture Crops, Agricultural Plant Diseases Humans Machine Learning Smartphone
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Two-stage Non-Intrusive Load Monitoring method for multi-state loads.

PloS one Jan 8, 2025
The loads that have several working states cannot be accurately distinguished by the conventional Non-Intrusive Load Monitoring (NILM) methods. This paper proposed an improved NILM method based on the Resnet18 Convolutional Neural Network (CNN) and S...
Neural Networks, Computer Algorithms Support Vector Machine Humans
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Uncovering blood-brain barrier permeability: a comparative study of machine learning models using molecular fingerprints, and SHAP explainability.

SAR and QSAR in environmental research Jan 8, 2025
This study illustrates the use of chemical fingerprints with machine learning for blood-brain barrier (BBB) permeability prediction. Employing the Blood Brain Barrier Database (B3DB) dataset for BBB permeability prediction, we extracted nine differen...
Machine Learning Permeability Quantitative Structure-Activity Relationship Algorithms Blood-Brain Barrier Support Vector Machine
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Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study.

Frontiers in cellular and infection microbiology Jan 8, 2025
BACKGROUND: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. ...
Logistic Models Intensive Care Units Middle Aged Support Vector Machine Female Algorithms Humans Sepsis Risk Factors Prognosis Machine Learning Aged Retrospective Studies Male
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High-throughput, rapid, and non-destructive detection of common foodborne pathogens via hyperspectral imaging coupled with deep neural networks and support vector machines.

Food research international (Ottawa, Ont.) Jan 7, 2025
Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia coli are major causes of gastrointestinal diseases worldwide and frequently contaminate dairy products. Compared to nucleic acid detection and MALDI-TOF MS, hyperspec...
Food Microbiology Foodborne Diseases Principal Component Analysis Discriminant Analysis High-Throughput Screening Assays Hyperspectral Imaging Escherichia coli Neural Networks, Computer Staphylococcus aureus Food Contamination Bacillus cereus Deep Learning Support Vector Machine
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