AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Models, Statistical

Showing 241 to 250 of 1237 articles

Clear Filters

Epistemic uncertainty quantification in deep learning classification by the Delta method.

Neural networks : the official journal of the International Neural Network Society Oct 23, 2021
The Delta method is a classical procedure for quantifying epistemic uncertainty in statistical models, but its direct application to deep neural networks is prevented by the large number of parameters P. We propose a low cost approximation of the Del...
Models, Statistical Neural Networks, Computer Probability Deep Learning Uncertainty
View on PubMed DOI

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review.

BMJ (Clinical research ed.) Oct 20, 2021
OBJECTIVE: To assess the methodological quality of studies on prediction models developed using machine learning techniques across all medical specialties.
Humans Machine Learning Multivariate Analysis Risk Data Interpretation, Statistical Clinical Decision Rules Bias Models, Statistical
View on PubMed DOI

Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior.

Neural networks : the official journal of the International Neural Network Society Oct 18, 2021
It is one of the ultimate goals of ethology to understand the generative process of animal behavior, and the ability to reproduce and control behavior is an important step in this field. However, it is not easy to achieve this goal in systems with co...
Caenorhabditis elegans Learning Animals Models, Statistical Behavior, Animal Neural Networks, Computer
View on PubMed DOI

Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
Geography Spatial Regression Cities Computational Biology Environmental Monitoring Models, Statistical Least-Squares Analysis Communicable Diseases Humans Climate Reproducibility of Results Machine Learning Epidemics SARS-CoV-2 COVID-19 Social Class China Algorithms
View on PubMed DOI

Improved prediction of smoking status via isoform-aware RNA-seq deep learning models.

PLoS computational biology Oct 11, 2021
Most predictive models based on gene expression data do not leverage information related to gene splicing, despite the fact that splicing is a fundamental feature of eukaryotic gene expression. Cigarette smoking is an important environmental risk fac...
Male Middle Aged Gene Expression Profiling Deep Learning ROC Curve Humans Female Aged Protein Isoforms Exons RNA-Seq Computational Biology Models, Statistical Smoking
View on PubMed DOI

AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Anti-inflammatory peptides (AIEs) have recently emerged as promising therapeutic agent for treatment of various inflammatory diseases, such as rheumatoid arthritis and Alzheimer's disease. Therefore, detecting the correlation between amino acid seque...
Drug Discovery Computational Biology Models, Statistical Anti-Inflammatory Agents Amino Acid Sequence Sequence Analysis, Protein Machine Learning Algorithms Peptides
View on PubMed DOI

Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure-Activity Relationship System.

International journal of molecular sciences Oct 6, 2021
In silico approaches have been studied intensively to assess the toxicological risk of various chemical compounds as alternatives to traditional in vivo animal tests. Among these approaches, quantitative structure-activity relationship (QSAR) analysi...
Receptors, Cytoplasmic and Nuclear Models, Statistical Pharmaceutical Preparations Quantitative Structure-Activity Relationship Toxicity Tests Humans Algorithms Computer Simulation Deep Learning
View on PubMed DOI

Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival.

International journal of molecular sciences Oct 5, 2021
Bisphenols are important environmental pollutants that are extensively studied due to different detrimental effects, while the molecular mechanisms behind these effects are less well understood. Like other environmental pollutants, bisphenols are bei...
Meta-Analysis as Topic Benzhydryl Compounds Datasets as Topic Gene Expression Regulation Liver Cell Survival Models, Statistical Phenols Air Pollutants, Occupational Machine Learning Biomarkers Animals Male Gene Expression Profiling Mice Apoptosis
View on PubMed DOI

A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization.

JAMA network open Oct 1, 2021
IMPORTANCE: Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.
Infant Severity of Illness Index Adolescent Child, Preschool Young Adult Adult Male Middle Aged Benchmarking COVID-19 Testing Crowdsourcing Washington Clinical Decision Rules Child COVID-19 ROC Curve Humans Algorithms Models, Statistical Machine Learning Prognosis Area Under Curve Female Infant, Newborn Hospitalization Aged Aged, 80 and over
View on PubMed DOI

Forecasting care seekers satisfaction with telemedicine using machine learning and structural equation modeling.

PloS one Sep 24, 2021
Many individuals visit rural telemedicine centres to obtain safe and effective health remedies for their physical and emotional illnesses. This study investigates the antecedents of patients' satisfaction relating to telemedicine adoption in rural pu...
Forecasting Hospitals, Public Female Young Adult Patient Satisfaction Adult Bangladesh Patient Acceptance of Health Care Humans Rural Health Services Machine Learning Adolescent Rural Population Models, Statistical Personal Satisfaction Telemedicine Male Middle Aged Surveys and Questionnaires Latent Class Analysis
View on PubMed DOI
Popular Topics
Recent Journals