AIMC Topic: Bayes Theorem

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Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems.

Scientific reports Jul 14, 2023
Electroencephalograms (EEG) is used to assess patients' clinical records of depression (EEG). The disorder of human thinking is a very complex problem caused by heavy-duty in daily life. We need some future and optimal classifier selection by using d...
Bayes Theorem Electroencephalography Algorithms Humans Depression Artificial Intelligence
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Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.

Scientific reports Jul 13, 2023
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as artificial intelligence (AI) had been introduced for mortality prediction of COVID-19 patients. The prognostic performances of the machine learning (ML)-b...
Humans Artificial Intelligence COVID-19 Algorithms Machine Learning Pandemics Middle Aged Bayes Theorem Aged Retrospective Studies Adult Tomography, X-Ray Computed
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Combining Knowledge Graph and Word Embeddings for Spherical Topic Modeling.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Probabilistic topic models are considered as an effective framework for text analysis that uncovers the main topics in an unlabeled set of documents. However, the inferred topics by traditional topic models are often unclear and not easy to interpret...
Bayes Theorem Neural Networks, Computer Semantics Language Pattern Recognition, Automated
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Experimental drugs in clinical trials for COPD: artificial intelligence via machine learning approach to predict the successful advance from early-stage development to approval.

Expert opinion on investigational drugs Jul 6, 2023
INTRODUCTION: Therapeutic advances in drug therapy of chronic obstructive pulmonary disease (COPD) really effective in suppressing the pathological processes underlying the disease deterioration are still needed. Artificial Intelligence (AI) via Mach...
Adrenergic beta-2 Receptor Agonists Bayes Theorem Machine Learning Muscarinic Antagonists Pulmonary Disease, Chronic Obstructive Humans Administration, Inhalation Artificial Intelligence Bronchodilator Agents
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BayeSeg: Bayesian modeling for medical image segmentation with interpretable generalizability.

Medical image analysis Jul 5, 2023
Due to the cross-domain distribution shift aroused from diverse medical imaging systems, many deep learning segmentation methods fail to perform well on unseen data, which limits their real-world applicability. Recent works have shown the benefits of...
Humans Neural Networks, Computer Male Image Processing, Computer-Assisted Pelvis Heart Bayes Theorem Prostate
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A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning.

Sensors (Basel, Switzerland) Jul 5, 2023
Localizing leakages in large water distribution systems is an important and ever-present problem. Due to the complexity originating from water pipeline networks, too few sensors, and noisy measurements, this is a highly challenging problem to solve. ...
Models, Statistical Bayes Theorem Water Supply Neural Networks, Computer Deep Learning
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DeeP4med: deep learning for P4 medicine to predict normal and cancer transcriptome in multiple human tissues.

BMC bioinformatics Jul 4, 2023
BACKGROUND: P4 medicine (predict, prevent, personalize, and participate) is a new approach to diagnosing and predicting diseases on a patient-by-patient basis. For the prevention and treatment of diseases, prediction plays a fundamental role. One of ...
Deep Learning Humans Bayes Theorem Machine Learning Neoplasms Transcriptome
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Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation.

Sensors (Basel, Switzerland) Jul 2, 2023
Pose estimation is crucial for automating assembly tasks, yet achieving sufficient accuracy for assembly automation remains challenging and part-specific. This paper presents a novel, streamlined approach to pose estimation that facilitates automatio...
Bayes Theorem Automation Machine Learning
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Predictive Uncertainty Estimation for Camouflaged Object Detection.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 29, 2023
Uncertainty is inherent in machine learning methods, especially those for camouflaged object detection aiming to finely segment the objects concealed in background. The strong enquote center bias of the training dataset leads to models of poor genera...
Image Processing, Computer-Assisted Bayes Theorem Machine Learning Uncertainty
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Development of a model for the prediction of biological age.

Computer methods and programs in biomedicine Jun 24, 2023
BACKGROUND AND OBJECTIVE: Rates of aging vary markedly among individuals, and biological age serves as a more reliable predictor of current health status than does chronological age. As such, the ability to predict biological age can support appropri...
DNA Methylation Bayes Theorem Aging Machine Learning Adolescent Algorithms Humans
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