AIMC Topic: Risk Management

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A method for managing scientific research project resource conflicts and predicting risks using BP neural networks.

Scientific reports Apr 22, 2024
This study begins by considering the resource-sharing characteristics of scientific research projects to address the issues of resource misalignment and conflict in scientific research project management. It comprehensively evaluates the tangible and...
Humans Neural Networks, Computer Risk Assessment Risk Management Algorithms Biomedical Research
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Machine learning in internet financial risk management: A systematic literature review.

PloS one Apr 16, 2024
Internet finance has permeated into myriad households, bringing about lifestyle convenience alongside potential risks. Presently, internet finance enterprises are progressively adopting machine learning and other artificial intelligence methods for r...
Algorithms Risk Management Internet Financial Management Humans Machine Learning
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A novel decision support system for proactive risk management in healthcare based on fuzzy inference, neural network and support vector machine.

International journal of medical informatics Mar 30, 2024
BACKGROUND: The nature of activities practiced in healthcare organizations makes risk management the most crucial issue for decision-makers, especially in developing countries. New technologies provide effective solutions to support engineers in mana...
Neural Networks, Computer Fuzzy Logic Delivery of Health Care Risk Management Risk Assessment Support Vector Machine Humans
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Managing risk and resilience in autonomous and intelligent systems: Exploring safety in the development, deployment, and use of artificial intelligence in healthcare.

Risk analysis : an official publication of the Society for Risk Analysis Jan 21, 2024
Autonomous and intelligent systems (AIS) are being developed and deployed across a wide range of sectors and encompass a variety of technologies designed to engage in different forms of independent reasoning and self-directed behavior. These technolo...
Delivery of Health Care Risk Assessment Humans Artificial Intelligence Risk Management Intelligent Systems
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An integrated approach to occupational health risk assessment of manufacturing nanomaterials using Pythagorean Fuzzy AHP and Fuzzy Inference System.

Scientific reports Jan 2, 2024
Nanomaterials (NMs) have the potential to be hazardous owing to their unique physico-chemical properties. Therefore, the need for Health Risk Assessment (HRA) of NMs is expanding. In this study, a novel HRA was developed by the Pythagorean Fuzzy Heal...
Reproducibility of Results Risk Assessment Nanostructures Fuzzy Logic Risk Management
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External Validation of Deep Learning-Based Cardiac Arrest Risk Management System for Predicting In-Hospital Cardiac Arrest in Patients Admitted to General Wards Based on Rapid Response System Operating and Nonoperating Periods: A Single-Center Study.

Critical care medicine Dec 20, 2023
OBJECTIVES: The limitations of current early warning scores have prompted the development of deep learning-based systems, such as deep learning-based cardiac arrest risk management systems (DeepCARS). Unfortunately, in South Korea, only two instituti...
Heart Arrest Patients' Rooms Adult Deep Learning Humans Risk Management Retrospective Studies Hospitals, University
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Application of Artificial Intelligence or machine learning in risk sharing agreements for pharmacotherapy risk management.

Journal of integrative bioinformatics Dec 12, 2023
Applications of Artificial Intelligence in medical informatics solutions risk sharing have social value. At a time of ever-increasing cost for the provision of medicines to citizens, there is a need to restrain the growth of health care costs. The se...
Neural Networks, Computer Artificial Intelligence Machine Learning Risk Management Automation
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Knowledge graph and CBR-based approach for automated analysis of bridge operational accidents: Case representation and retrieval.

PloS one Nov 7, 2023
Bridge operational accident analysis is a critical process in bridge operational risk management. It provides valuable knowledge support for responding to newly occurring accidents. However, there are three issues: (1) research specifically focused o...
Knowledge Artificial Intelligence Risk Management Problem Solving Pattern Recognition, Automated
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Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.

Critical care (London, England) Sep 5, 2023
BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed t...
Deep Learning Cohort Studies Risk Management Humans Heart Arrest Hospitals, Teaching Intensive Care Units Patients' Rooms Adult Prospective Studies Retrospective Studies
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Prediction Performance Comparison of Risk Management and Control Mode in Regional Sites Based on Decision Tree and Neural Network.

Frontiers in public health May 26, 2022
The traditional risk management and control mode (RMCM) in regional sites has the defects of low efficiency, high cost, and lack of systematism. Trying to resolve these defects and explore the application possibility of machine learning, a characteri...
Risk Management Algorithms Neural Networks, Computer Decision Trees
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