AIMC Topic: Support Vector Machine

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Physical, Social and Cognitive Stressor Identification using Electrocardiography-derived Features and Machine Learning from a Wearable Device.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Anxiety is a prevalent and detrimental mental health condition affecting young adults, particularly in college students who face a range of stressors including academic pressures, interpersonal relationships, and financial concerns. The ability to pr...
Heart Rate Anxiety Stress, Psychological Wearable Electronic Devices Support Vector Machine Signal Processing, Computer-Assisted Cognition Electrocardiography Young Adult Adult Humans Male Machine Learning Female
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Improving Neonatal Care with AI: Class Weight Optimization for Respiratory Distress Syndrome Prediction in Very Low Birth Weight Infants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this study, we developed an AI model to predict Respiratory Distress Syndrome (RDS) in premature infants, aiming to reduce unnecessary treatment with artificial pulmonary surfactant. We analyzed data from 13,120 infants in 76 hospitals, considerin...
Artificial Intelligence Machine Learning Algorithms Humans Neural Networks, Computer Support Vector Machine Female Infant, Newborn Infant, Very Low Birth Weight Infant, Premature Respiratory Distress Syndrome, Newborn Male
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Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Aphasia, a language disorder primarily caused by a stroke, is traditionally diagnosed using behavioral language tests. However, these tests are time-consuming, require manual interpretation by trained clinicians, suffer from low ecological validity, ...
Middle Aged Deep Learning Speech Stroke Aphasia Support Vector Machine Aged Electroencephalography Humans Adult Male Brain Female
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Machine Learning Approach for Music Familiarity Classification with Single-Channel EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in innovative therapeutic devices that improve memory and communication in dementia patients. In this study, a variety of machine learning algorithms were a...
Discriminant Analysis Female Electroencephalography Music Humans Male Signal Processing, Computer-Assisted Support Vector Machine Machine Learning Algorithms
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Automatic COVID-19 Detection from Chest X-ray using Deep MobileNet Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
As the COVID-19 pandemic has put a strain on healthcare systems around the world, accurate and rapid virus detection has become increasingly important. Lung issues caused by COVID-19 can be detected using a chest X-ray (CXR). In order to automaticall...
Radiography, Thoracic Deep Learning Convolutional Neural Networks Support Vector Machine Algorithms SARS-CoV-2 Lung Neural Networks, Computer COVID-19 Humans
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StepGAN: Gait Feature Extraction Using Generative Adversarial Networks for Footstep Recognition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Pressure recordings of footsteps during walking can offer a convenient biometric recognition method for applications in security, forensic analysis, and health monitoring. However, footsteps can exhibit high variability due to a complex interplay of ...
Shoes Generative Adversarial Networks Gait Pressure Foot Humans Neural Networks, Computer Support Vector Machine Walking Algorithms Male
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Assessing Basic Emotion via Machine Learning: Comparative Analysis of Number of Basic Emotions and Algorithms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset for Emotion Analysis using Physiological Signals (DEAP), dat...
Humans Emotions Machine Learning Algorithms Support Vector Machine
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Artificial Intelligence Based Hierarchical Classification of Frontotemporal Dementia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Frontotemporal dementia (FTD) is a typical kind of presenile dementia with three main subtypes: behavioral-variant FTD (bvFTD), non-fluent variant primary progressive aphasia (nfvPPA), and semantic variant primary progressive aphasia (svPPA). Our aim...
Humans Artificial Intelligence Female Discriminant Analysis Support Vector Machine Alzheimer Disease Magnetic Resonance Imaging Frontotemporal Dementia Aged Bayes Theorem Male Neuroimaging Middle Aged
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Exploring Self-Supervised Models for Depressive Disorder Detection: A Study on Speech Corpora.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Automatic detection of depressive disorder from speech signals can help improve medical diagnosis reliability. However, a significant challenge in this field is that most of the available depression datasets are relatively small, which limits the eff...
Supervised Machine Learning Algorithms Depressive Disorder Speech Support Vector Machine Humans Bayes Theorem Signal Processing, Computer-Assisted
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Discrimination between RA and LA Sinus Rhythms using machine learning approach.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Atrial fibrillation (AF) is a common cardiac disease that potentially leads to fatal conditions. Machine Learning (ML) classification methods are widely used to distinguish between sinus rhythm and AF for post-ablation rhythms in ECG. However, intrac...
Humans Support Vector Machine Cluster Analysis Atrial Fibrillation Machine Learning Heart Atria Algorithms Electrocardiography
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