AIMC Topic: Bayes Theorem

Clear Filters Showing 141 to 150 of 1810 articles

Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.

Medical & biological engineering & computing Jan 23, 2025
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between ima...
Deep Learning Image Processing, Computer-Assisted Bayes Theorem Humans Algorithms Monte Carlo Method Uncertainty Whole Body Imaging Positron-Emission Tomography Radiation Dosage Signal-To-Noise Ratio
View on PubMed DOI

Continual learning with Bayesian compression for shared and private latent representations.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
This paper proposes a new continual learning method with Bayesian Compression for Shared and Private Latent Representations (BCSPLR), which learns a compact model structure while preserving the accuracy. In Shared and Private Latent Representations (...
Algorithms Humans Learning Neural Networks, Computer Data Compression Bayes Theorem Machine Learning
View on PubMed DOI

Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods.

Sensors (Basel, Switzerland) Jan 21, 2025
In geriatric healthcare, missing data pose significant challenges, especially in systems used for frailty monitoring in elderly individuals. This study explores advanced imputation techniques used to enhance data quality and maintain model performanc...
Bayes Theorem Support Vector Machine Humans Monitoring, Physiologic Algorithms Machine Learning Frailty Geriatrics Aged
View on PubMed DOI

Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data: a protocol.

BMJ open Jan 21, 2025
INTRODUCTION: Propofol is a widely used sedative-hypnotic agent for critically ill patients requiring invasive mechanical ventilation (IMV). Despite its clinical benefits, propofol is associated with increased risks of hypertriglyceridemia. Early ide...
Hypnotics and Sedatives Humans Bayes Theorem Machine Learning Hypertriglyceridemia Risk Assessment Retrospective Studies Respiration, Artificial Critical Illness Propofol Intensive Care Units
View on PubMed DOI

Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.

BMC health services research Jan 20, 2025
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI,...
Aged Male Middle Aged Taiwan Bayes Theorem Percutaneous Coronary Intervention Humans Coronary Artery Disease Machine Learning Health Expenditures Female Coronary Artery Bypass
View on PubMed DOI

Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study.

Scientific reports Jan 20, 2025
The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of vessels for vascular access (VA). It's been previously validated in a clinical study. Here, AVAS performance was tested against multiple ultrasound mappi...
Ultrasonography ROC Curve Bayes Theorem Prospective Studies Female Aged Male Middle Aged Renal Dialysis Humans Machine Learning Algorithms
View on PubMed DOI

Investigating the performance of multivariate LSTM models to predict the occurrence of Distributed Denial of Service (DDoS) attack.

PloS one Jan 17, 2025
In the current cybersecurity landscape, Distributed Denial of Service (DDoS) attacks have become a prevalent form of cybercrime. These attacks are relatively easy to execute but can cause significant disruption and damage to targeted systems and netw...
Neural Networks, Computer Machine Learning Algorithms Humans Deep Learning Bayes Theorem Computer Security
View on PubMed DOI

AI contextual information shapes moral and aesthetic judgments of AI-generated visual art.

Cognition Jan 16, 2025
Throughout history, art creation has been regarded as a uniquely human means to express original ideas, emotions, and experiences. However, as Generative Artificial Intelligence reshapes visual, aesthetic, legal, and economic culture, critical questi...
Morals Judgment Visual Perception Adult Male Bayes Theorem Esthetics Art Humans Artificial Intelligence Female Young Adult
View on PubMed DOI

Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.

Journal of biomedical optics Jan 16, 2025
SIGNIFICANCE: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte...
Skin Physiological Phenomena Computer Simulation Animals Humans Image Processing, Computer-Assisted Bayes Theorem Neural Networks, Computer Algorithms Skin Hyperspectral Imaging
View on PubMed DOI

A meta-learning imbalanced classification framework via boundary enhancement strategy with Bayes imbalance impact index.

Neural networks : the official journal of the International Neural Network Society Jan 14, 2025
For imbalanced classification problem, algorithm-level methods can effectively avoid the information loss and noise introduction of data-level methods. However, the differences in the characteristics of the datasets, such as imbalance ratio, data dim...
Algorithms Bayes Theorem Humans Neural Networks, Computer Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals