AIMC Topic: Risk Assessment

Clear Filters Showing 1481 to 1490 of 2930 articles

Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning.

JACC. Cardiovascular imaging
BACKGROUND: Myocardial perfusion imaging (MPI) is frequently used to provide risk stratification, but methods to improve the accuracy of these predictions are needed.

Environmental toxicity risk evaluation of nitroaromatic compounds: Machine learning driven binary/multiple classification and design of safe alternatives.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
Nitroaromatic compounds (NACs) represent a significant source of organic pollutants in the environment. In this study, a well-rounded dataset containing 371 NACs with rat oral median lethal doses (LD) was developed. Based on the dataset, binary and m...

Risk Assessment of Deep Coal and Gas Outbursts Based on IQPSO-SVM.

International journal of environmental research and public health
Coal and gas outbursts seriously threaten the mining safety of deep coal mines. The evaluation of the risk grade of these events can effectively prevent the occurrence of safety accidents in deep coal mines. Characterized as a high-dimensional, nonli...

Real-time driving risk assessment using deep learning with XGBoost.

Accident; analysis and prevention
Traffic crashes typically occur in a few seconds and real-time prediction can significantly benefit traffic safety management and the development of safety countermeasures. This paper presents a novel deep learning model for crash identification base...

Research on Risk Assessment and Prediction of RMB Internationalization Based on the PCA-SA-BPNN Model.

Computational intelligence and neuroscience
This paper combines principal component analysis, a BP neural network, and a simulated annealing algorithm, to construct a PCA-SA-BPNN risk forecast model to evaluate and predict the RMB internationalization risk status of China. First, we analyze th...

Risk stratification and pathway analysis based on graph neural network and interpretable algorithm.

BMC bioinformatics
BACKGROUND: Pathway-based analysis of transcriptomic data has shown greater stability and better performance than traditional gene-based analysis. Until now, some pathway-based deep learning models have been developed for bioinformatic analysis, but ...

Tunnel collapse risk assessment based on improved quantitative theory III and EW-AHP coupling weight.

Scientific reports
It is a multi-criteria decision issue to conduct a risk assessment of the tunnel. In this paper, a tunnel collapse risk assessment model based on the improved theory of quantification III and the fuzzy comprehensive evaluation method is proposed. Acc...

Risk Assessment of Green Intelligent Building Based on Artificial Intelligence.

Computational intelligence and neuroscience
Green smart building is the development direction of future architecture. It is of great significance to carry out risk assessment. Fire risk is the key content of building risk, so this paper takes fire risk as the research object, with the help of ...

Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization.

Computers in biology and medicine
OBJECTIVE: Cardiovascular disease (CVD) is a major healthcare challenge and therefore early risk assessment is vital. Previous assessment techniques use either "conventional CVD risk calculators (CCVRC)" or machine learning (ML) paradigms. These tech...