AIMC Topic: Support Vector Machine

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A multimodal machine learning algorithm improved diagnostic accuracy for otitis media in a school aged Aboriginal population.

Journal of biomedical informatics Feb 17, 2025
OBJECTIVE: Otitis Media (OM) - ear infection - can lead to hearing loss and associated developmental delay. There are several subgroups of OM which can be difficult to diagnose accurately, even for experienced clinicians. AI and machine learning algo...
Otoscopy Acoustic Impedance Tests Australian Aboriginal and Torres Strait Islander Peoples Child Humans Support Vector Machine Machine Learning Otitis Media Algorithms Female Male Child, Preschool
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Using Machine Learning and Optical Microscopy Image Analysis of Immunosensors Made on Plasmonic Substrates: Application to Detect the SARS-CoV-2 Virus.

ACS sensors Feb 17, 2025
In this article, we introduce a diagnostic platform comprising an optical microscopy image analysis system coupled with machine learning. Its efficacy is demonstrated in detecting SARS-CoV-2 virus particles at concentrations as low as 1 PFU (plaque-f...
Microscopy Support Vector Machine Immunoassay Surface Plasmon Resonance Humans Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Biosensing Techniques COVID-19 SARS-CoV-2
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Bridging Neuroscience and Machine Learning: A Gender-Based Electroencephalogram Framework for Guilt Emotion Identification.

Sensors (Basel, Switzerland) Feb 17, 2025
This study explores the link between the emotion "guilt" and human EEG data, and investigates the influence of gender differences on the expression of guilt and neutral emotions in response to visual stimuli. Additionally, the stimuli used in the stu...
Male Support Vector Machine Emotions Female Young Adult Adult Guilt Electroencephalography Sex Factors Neurosciences Machine Learning Brain Humans
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Interpretable machine learning approaches for children's ADHD detection using clinical assessment data: an online web application deployment.

BMC psychiatry Feb 17, 2025
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent mental disorder characterized by hyperactivity, impulsivity, and inattention. This study aims to develop a verifiable and interpretable machine learning model to identify ADHD...
Female Male Humans Machine Learning Internet Attention Deficit Disorder with Hyperactivity Wechsler Scales Adolescent Child Support Vector Machine
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Diagnosis of Benign and Malignant Newly Developed Nodules on the Surgical Side After Breast Cancer Surgery Based on Machine Learning.

The breast journal Feb 17, 2025
To enhance the diagnostic accuracy of new nodules on the surgical side after breast cancer surgery using machine learning techniques and to explore the role of multifeature fusion. Data from 137 breast cancer postoperative patients with new nodules...
Breast Neoplasms Middle Aged Support Vector Machine Mastectomy Aged Humans Adult Machine Learning Sensitivity and Specificity Female
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Predicting preterm birth using machine learning methods.

Scientific reports Feb 16, 2025
Preterm birth is a significant public health concern, given its correlation with neonatal mortality and morbidity. The aetiology of preterm birth is complex and multifactorial. The objective of this study was to develop and compare machine learning m...
Support Vector Machine Decision Trees Algorithms Pregnancy Female Adult Logistic Models Infant, Newborn Premature Birth Humans Machine Learning
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Dental Composite Performance Prediction Using Artificial Intelligence.

Journal of dental research Feb 14, 2025
There is a need to increase the performance and longevity of dental composites and accelerate the translation of novel composites to the market. This study explores the use of artificial intelligence (AI), specifically machine learning (ML) models, t...
Artificial Intelligence Machine Learning Support Vector Machine Humans Flexural Strength Decision Trees Composite Resins Dental Materials
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Predicting antipsychotic responsiveness using a machine learning classifier trained on plasma levels of inflammatory markers in schizophrenia.

Translational psychiatry Feb 14, 2025
We apply machine learning techniques to navigate the multifaceted landscape of schizophrenia. Our method entails the development of predictive models, emphasizing peripheral inflammatory biomarkers, which are classified into treatment response subgro...
Humans Machine Learning Biomarkers Support Vector Machine Schizophrenia Clozapine Antipsychotic Agents Middle Aged Case-Control Studies Inflammation Female Adult Male
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PhageDPO: A machine-learning based computational framework for identifying phage depolymerases.

Computers in biology and medicine Feb 13, 2025
Bacteriophages (phages) are the most predominant and genetically diverse biological entities on Earth. Phages are viruses that infect bacteria and encode numerous proteins with potential biotechnological application. However, most phage-encoded prote...
Viral Proteins Support Vector Machine Software Genome, Viral Computational Biology Bacteriophages Machine Learning
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Detection of brain tumors using a transfer learning-based optimized ResNet152 model in MR images.

Computers in biology and medicine Feb 13, 2025
Brain tumors are incredibly harmful and can drastically reduce life expectancy. Most researchers use magnetic resonance (MR) scans to detect tumors because they can provide detailed images of the affected area. Recently, AI-based deep learning method...
Humans Machine Learning Deep Learning Support Vector Machine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Brain Neoplasms Male
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