Results 1 to 10 of about 5,697,314 (319)

Key components of shared decision making models: a systematic review [PDF]

BMJ Open, 2019
Objectives To (1) provide an up-to-date overview of shared decision making (SDM)-models, (2) give insight in the prominence of components present in SDM-models, (3) describe who is identified as responsible within the components (patient, healthcare ...
Arwen H Pieterse, Anne M Stiggelbout, Hanna Bomhof-Roordink   +2 more
doaj   +3 more sources

Parameter estimation in softmax decision-making models with linear objective functions [PDF]

IEEE Transactions on Automation Science and Engineering, 2015
With an eye towards human-centered automation, we contribute to the development of a systematic means to infer features of human decision-making from behavioral data. Motivated by the common use of softmax selection in models of human decision-making, we
Leonard, Naomi E., Reverdy, Paul
core   +2 more sources

A review of clinical decision-making: Models and current research [PDF]

Journal of Clinical Nursing, 2007
Aims and objectives: The aim of this paper was to review the current literature with respect to clinical decision-making models and the educational application of models to clinical practice.
Aspiuynall MJ, Benner P, Carnevali D, Carnevali D, Gerrity P, Gordon M, Harbison J, Hedberg B, Jacavone J, James G, Jenkins HM, Khatri N, Klein G, Leners DW, Luker KA, Maggi Banning, Maynard A, Miers M, Papa F, Pyles SH, Rew L, Rew L, Schrader B, Smoyak SA, Street A, Stroud SD, Thompson C, Thompson C, Tversky A, Young C   +29 more
core   +2 more sources

Healthcare organizations in crisis context: decision-making models and roles of CEOs [PDF]

BMC Health Services Research
Background In times of crisis, decision-making can become a highly complex process that is shaped differently than in ordinary contexts. The literature presents different decision-making models that have not yet been thoroughly tested in practice.
Anna Romiti, Mario Del Vecchio, Caterina Cavicchi, Emidia Vagnoni   +3 more
doaj   +2 more sources

Foundation Models for Decision Making: Problems, Methods, and Opportunities [PDF]

arXiv.org, 2023
Foundation models pretrained on diverse data at scale have demonstrated extraordinary capabilities in a wide range of vision and language tasks. When such models are deployed in real world environments, they inevitably interface with other entities and ...
Sherry Yang, Ofir Nachum, Yilun Du, Jason Wei, P. Abbeel, D. Schuurmans   +5 more
semanticscholar   +1 more source

Making Decisions under Model Misspecification [PDF]

SSRN Electronic Journal, 2020
Abstract We use decision theory to confront uncertainty that is sufficiently broad to incorporate “models as approximations.” We presume the existence of a featured collection of what we call “structured models” that have explicit substantive motivations.
Cerreia–Vioglio, Simone, Hansen, Lars Peter, Maccheroni, Fabio, Marinacci, Massimo   +3 more
openaire   +2 more sources

Is Conditional Generative Modeling all you need for Decision-Making? [PDF]

International Conference on Learning Representations, 2022
Recent improvements in conditional generative modeling have made it possible to generate high-quality images from language descriptions alone. We investigate whether these methods can directly address the problem of sequential decision-making.
Anurag Ajay, Yilun Du, Abhi Gupta, J. Tenenbaum, T. Jaakkola, Pulkit Agrawal   +5 more
semanticscholar   +1 more source

Optimisation models and the economics of managerial decision-making

Journal of Modern Science, 2023
Making optimal decisions is a process whose aim is to select the best solution from the perspective of efficiency, economy and rationality. This process includes a group of logically related mental and computational operations. They lead to the selection
Kamila Ćwik, Sylwia Skrzypek-Ahmed, Wiktor Cwynar, Stanisław Skowron, Barbara Mróz-Gorgoń   +4 more
doaj   +1 more source

Modelling decision-making biases

Frontiers in Computational Neuroscience, 2023
Biases are a fundamental aspect of everyday life decision-making. A variety of modelling approaches have been suggested to capture decision-making biases. Statistical models are a means to describe the data, but the results are usually interpreted according to a verbal theory. This can lead to an ambiguous interpretation of the data.
Cerracchio, E., Miletić, S., Forstmann, B.U.   +2 more
openaire   +5 more sources

A review of multi-attributes decision-making models for offshore oil and gas facilities decommissioning

, 2021
With the development of the offshore fossil energy industry, the designing life of many offshore oil and gas facilities will end. The decommissioning of these facilities has become an urgent task due to unpredictable costs, high risks, and environmental ...
Yihong Li, Zhiqian Hu
semanticscholar   +1 more source