AIMC Topic: Bayes Theorem

Clear Filters Showing 431 to 440 of 1778 articles

Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease.

Acta obstetricia et gynecologica Scandinavica Aug 10, 2023
INTRODUCTION: This study aims to investigate non-invasive electrocardiography as a method for the detection of congenital heart disease (CHD) with the help of artificial intelligence.
Bayes Theorem Heart Defects, Congenital Fetal Heart Ultrasonography, Prenatal Electrocardiography Female Infant, Newborn Artificial Intelligence Pregnancy Humans
View on PubMed DOI

Improving drug discovery with a hybrid deep generative model using reinforcement learning trained on a Bayesian docking approximation.

Journal of computer-aided molecular design Aug 8, 2023
Generative approaches to molecular design are an area of intense study in recent years as a method to generate new pharmaceuticals with desired properties. Often though, these types of efforts are constrained by limited experimental activity data, re...
Deep Learning Bayes Theorem Drug Design Drug Discovery Machine Learning Computer Simulation
View on PubMed DOI

Metadata and Image Features Co-Aware Personalized Federated Learning for Smart Healthcare.

IEEE journal of biomedical and health informatics Aug 7, 2023
Recently, artificial intelligence has been widely used in intelligent disease diagnosis and has achieved great success. However, most of the works mainly rely on the extraction of image features but ignore the use of clinical text information of pati...
Humans Computer Simulation Bayes Theorem Metadata Artificial Intelligence Algorithms
View on PubMed DOI

Remote Blood Oxygen Estimation From Videos Using Neural Networks.

IEEE journal of biomedical and health informatics Aug 7, 2023
Peripheral blood oxygen saturation (SpO ) is an essential indicator of respiratory functionality and received increasing attention during the COVID-19 pandemic. Clinical findings show that COVID-19 patients can have significantly low SpO before any ...
Proof of Concept Study Skin Pigmentation Oximetry Smartphone Video Recording Bayes Theorem Datasets as Topic Oxygen COVID-19 Hand Sensitivity and Specificity Remote Sensing Technology Humans Deep Learning Neural Networks, Computer
View on PubMed DOI

Physiologically-Informed Gaussian Processes for Interpretable Modelling of Psycho-Physiological States.

IEEE journal of biomedical and health informatics Aug 7, 2023
The widespread popularity of Machine Learning (ML) models in healthcare solutions has increased the demand for their interpretability and accountability. In this paper, we propose the Physiologically-Informed Gaussian Process (PhGP) classification mo...
Bayes Theorem Benchmarking Normal Distribution Machine Learning Emotions
View on PubMed DOI

Enhanced joint hybrid deep neural network explainable artificial intelligence model for 1-hr ahead solar ultraviolet index prediction.

Computer methods and programs in biomedicine Aug 5, 2023
BACKGROUND AND OBJECTIVE: Exposure to solar ultraviolet (UV) radiation can cause malignant keratinocyte cancer and eye disease. Developing a user-friendly, portable, real-time solar UV alert system especially or wearable electronic mobile devices can...
Bayes Theorem Solar Energy Neural Networks, Computer Artificial Intelligence Australia
View on PubMed DOI

Enhancing robustness, precision, and speed of traction force microscopy with machine learning.

Biophysical journal Jul 31, 2023
Traction patterns of adherent cells provide important information on their interaction with the environment, cell migration, or tissue patterns and morphogenesis. Traction force microscopy is a method aimed at revealing these traction patterns for ad...
Traction Bayes Theorem Microscopy, Atomic Force Machine Learning Cell Movement
View on PubMed DOI

deepGBLUP: joint deep learning networks and GBLUP framework for accurate genomic prediction of complex traits in Korean native cattle.

Genetics, selection, evolution : GSE Jul 31, 2023
BACKGROUND: Genomic prediction has become widespread as a valuable tool to estimate genetic merit in animal and plant breeding. Here we develop a novel genomic prediction algorithm, called deepGBLUP, which integrates deep learning networks and a geno...
Multifactorial Inheritance Bayes Theorem Quantitative Trait Loci Genotype Models, Genetic Phenotype Cattle Animals Genomics Deep Learning Republic of Korea Polymorphism, Single Nucleotide
View on PubMed DOI

Linear-Scaling Kernels for Protein Sequences and Small Molecules Outperform Deep Learning While Providing Uncertainty Quantitation and Improved Interpretability.

Journal of chemical information and modeling Jul 27, 2023
Gaussian process (GP) is a Bayesian model which provides several advantages for regression tasks in machine learning such as reliable quantitation of uncertainty and improved interpretability. Their adoption has been precluded by their excessive comp...
Humans Deep Learning Bayes Theorem Algorithms Amino Acid Sequence Uncertainty
View on PubMed DOI

Machine learning-based Sr isoscape of southern Sardinia: A tool for bio-geographic studies at the Phoenician-Punic site of Nora.

PloS one Jul 19, 2023
Since prehistoric times, the island of Sardinia-in the western Mediterranean-has played a leading role in the dynamics of human population and mobility, in the circulation of raw materials and artefacts, idioms and customs, of technologies and ideas ...
Italy Animals Strontium Isotopes Humans Sheep Bayes Theorem Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals