AIMC Topic: Decision Making
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Extended DEMATEL method with intuitionistic fuzzy information: A case of electric vehicles.
PloS one
Dec 19, 2024
The Decision-Making Trial and Laboratory (DEMATEL) methodology excels in the analysis of interdependent factors within complex systems, with correlation data typically presented in crisp values. Nevertheless, the judgments made by decision-makers oft...
A Bias Network Approach (BNA) to Encourage Ethical Reflection Among AI Developers.
Science and engineering ethics
Dec 17, 2024
We introduce the Bias Network Approach (BNA) as a sociotechnical method for AI developers to identify, map, and relate biases across the AI development process. This approach addresses the limitations of what we call the "isolationist approach to AI ...
Policy brief: Improving national vaccination decision-making through data.
Frontiers in public health
Dec 17, 2024
Life course immunisation looks at the broad value of vaccination across multiple generations, calling for more data power, collaboration, and multi-disciplinary work. Rapid strides in artificial intelligence, such as machine learning and natural lang...
Investigating Older Adults' Perceptions of AI Tools for Medication Decisions: Vignette-Based Experimental Survey.
Journal of medical Internet research
Dec 16, 2024
BACKGROUND: Given the public release of large language models, research is needed to explore whether older adults would be receptive to personalized medication advice given by artificial intelligence (AI) tools.
People expect artificial moral advisors to be more utilitarian and distrust utilitarian moral advisors.
Cognition
Dec 12, 2024
As machines powered by artificial intelligence increase in their technological capacities, there is a growing interest in the theoretical and practical idea of artificial moral advisors (AMAs): systems powered by artificial intelligence that are expl...
ST-Tree with interpretability for multivariate time series classification.
Neural networks : the official journal of the International Neural Network Society
Dec 3, 2024
Multivariate time series classification is of great importance in practical applications and is a challenging task. However, deep neural network models such as Transformers exhibit high accuracy in multivariate time series classification but lack int...
Breast radiotherapy planning: A decision-making framework using deep learning.
Medical physics
Dec 3, 2024
BACKGROUND: Effective breast cancer treatment planning requires balancing tumor control while minimizing radiation exposure to healthy tissues. Choosing between intensity-modulated radiation therapy (IMRT) and three-dimensional conformal radiation th...
New Approaches of Generalised Fuzzy Soft sets on fuzzy Codes and Its Properties on Decision-Makings.
F1000Research
Dec 2, 2024
BACKGROUND: Several scholars defined the concepts of fuzzy soft set theory and their application on decision-making problem. Based on this concept, researchers defined the generalised fuzzy soft set and its applications. However, to the best of the a...
Machine learning algorithms mimicking specialists decision making on initial treatment for people with type 2 diabetes mellitus in Japan diabetes data management study (JDDM76).
Diabetes & metabolic syndrome
Nov 29, 2024
OBJECTIVE: To evaluate whether typical machine learning models that mimic specialists' care can successfully reproduce information, not only on whether to prescribe medications but also which hypoglycemic agents to prescribe as initial treatment for ...
R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 17.
Journal of comparative effectiveness research
Nov 27, 2024
In this update, we discuss a position statement from the National Institute of Health and Care Excellence (NICE) on the use of artificial intelligence for evidence generation and publications reviewing the use of real-world data as external control a...
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