AIMC Topic: Decision Making

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The Causal Plausibility Decision in Healthcare.

Studies in health technology and informatics Nov 3, 2022
The explosion of interest in exploiting machine learning techniques in healthcare has brought the issue of inferring causation from observational data to centre stage. In our work in supporting the health decisions of the individual person/patient-as...
Humans Artificial Intelligence Causality Decision Making Delivery of Health Care Machine Learning
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Mind the gap: can artificial intelligence platforms bridge unmet needs in clinical decision making?

BJU international Sep 1, 2022
Decision Making Artificial Intelligence Humans Decision Support Systems, Clinical Clinical Decision-Making
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Multi-attribute decision-making method with triangular fuzzy numbers based on regret theory and the catastrophe progression method.

Mathematical biosciences and engineering : MBE Aug 18, 2022
The purpose of this paper was to develop a novel triangular fuzzy method for multi-attribute decision-making to eliminate the influence of indicator weights on scheme selection and account for the regret psychology of decision-makers. Therefore, cons...
Decision Making Emotions Fuzzy Logic
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A new group decision-making framework based on 2-tuple linguistic complex q-rung picture fuzzy sets.

Mathematical biosciences and engineering : MBE Aug 8, 2022
The need for multi-attribute decision-making brings more and more complexity, and this type of decision-making extends to an ever wider range of areas of life. A recent model that captures many components of decision-making frameworks is the complex ...
Fuzzy Logic Decision Making Linguistics
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Meta-surrogate decision making and artificial intelligence.

Journal of medical ethics May 1, 2022
Artificial Intelligence Decision Making Humans
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Group decision-making analysis with complex spherical fuzzy N-soft sets.

Mathematical biosciences and engineering : MBE Mar 16, 2022
This paper develops the ELiminating Et Choice Translating REality (ELECTRE) method under the generalized environment of complex spherical fuzzy $ N $-soft sets ($ CSFN\mathcal{S}_{f}Ss $) that have distinctive and empirical edge of non-binary paramet...
Fuzzy Logic Uncertainty Decision Making Algorithms
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A new MAGDM method with 2-tuple linguistic bipolar fuzzy Heronian mean operators.

Mathematical biosciences and engineering : MBE Feb 10, 2022
In this article, we introduce the 2-tuple linguistic bipolar fuzzy set (2TLBFS), a new strategy for dealing with uncertainty that incorporates a 2-tuple linguistic term into bipolar fuzzy set. The 2TLBFS is a better way to deal with uncertain and imp...
Uncertainty Linguistics Research Design Decision Making Fuzzy Logic
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Decision support model for the patient admission scheduling problem based on picture fuzzy aggregation information and TOPSIS methodology.

Mathematical biosciences and engineering : MBE Jan 20, 2022
Health care systems around the world do not have sufficient medical services to immediately offer elective (e.g., scheduled or non-emergency) services to all patients. The goal of patient admission scheduling (PAS) as a complicated decision making is...
Decision Support Techniques Patient Admission Fuzzy Logic Humans Decision Making Hospitalization
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The false hope of current approaches to explainable artificial intelligence in health care.

The Lancet. Digital health Nov 1, 2021
The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has been argued that explainable AI will engender trust with the health-c...
Dissent and Disputes Health Personnel Models, Biological Humans Bias Delivery of Health Care Comprehension Artificial Intelligence Decision Making Diagnostic Imaging Trust Communication
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Trading off accuracy and explainability in AI decision-making: findings from 2 citizens' juries.

Journal of the American Medical Informatics Association : JAMIA Sep 18, 2021
OBJECTIVE: To investigate how the general public trades off explainability versus accuracy of artificial intelligence (AI) systems and whether this differs between healthcare and non-healthcare scenarios.
Decision Making Community Participation Humans Artificial Intelligence Delivery of Health Care
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