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Deliberating with AI: Improving Decision-Making for the Future through Participatory AI Design and Stakeholder Deliberation [PDF]
Research exploring how to support decision-making has often used machine learning to automate or assist human decisions. We take an alternative approach for improving decision-making, using machine learning to help stakeholders surface ways to improve and make fairer decision-making processes.
arxiv +1 more source
Towards a taxonomy of behavior change techniques for promoting shared decision making
Background There is little information about the functions and behavior change techniques (BCTs) needed to implement shared decision making (SDM) in clinical practice.
Titilayo Tatiana Agbadjé+4 more
doaj +1 more source
Does value-based healthcare support patient-centred care? A scoping review of the evidence
Background Standardisation of outcome measures is integral to value-based healthcare (VBHC), which may conflict with patient-centred care, focusing on personalisation.Objectives We aimed to provide an overview of measures used to assess the effect of ...
Arwen H Pieterse+4 more
doaj +1 more source
The activity of neurons in the basal ganglia contributes to the weighting of speed versus accuracy, rather than to deliberation, in a motor decision-making task.
openaire +2 more sources
This paper studies the innovation diffusion problem with the affection of urbanization, proposing a dynamical innovation diffusion model with fuzzy coefficient, and uses the shifting rate of people from rural areas stepping into urban areas to show the ...
Zhigao Liao, Jiuping Xu, Liming Yao
doaj +1 more source
Development of an online patient decision aid for kidney failure treatment modality decisions
Background Patient decision aids (PtDAs) support patients and clinicians in shared decision-making (SDM). Real-world outcome information may improve patients’ risk perception, and help patients make decisions congruent with their expectations and values.
Noel Engels+11 more
doaj +1 more source
A Two-Stage Method to Determine Optimal Product Sampling considering Dynamic Potential Market
This paper develops an optimization model for the diffusion effects of free samples under dynamic changes in potential market based on the characteristics of independent product and presents a two-stage method to figure out the sampling level. The impact
Zhineng Hu, Wei Lu, Bing Han
doaj +1 more source
Selecting Personnel with the Weighted Cross-Entropy TOPSIS of Hesitant Picture Fuzzy Linguistic Sets
Personnel selection is a key important role for the human resource department of organization, and hesitant picture fuzzy linguistic sets (HPFLSs) elaborated the advantages of both hesitant linguistic set and picture fuzzy set, which is more flexible and
Xiao-Hui Wu, Lin Yang, Jie Qian
doaj +1 more source
Climate change decision-making has emerged in recent decades as an area of research and practice, expanding on an earlier focus on climate policy. Defined as the study of decisions relevant for climate change, it draws on developments in decision science,
Ben Orlove+3 more
semanticscholar +1 more source
Regional logistics prediction is the key step in regional logistics planning and logistics resources rationalization. Since regional economy is the inherent and determinative factor of regional logistics demand, it is feasible to forecast regional ...
Zhineng Hu, Yixin Zhang, Liming Yao
doaj +1 more source