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Improving Shared Decision-Making Using Cognitive Effort-Optimization

Conference Paper
Publication Date:
2022
abstract:
Diabetes Prevention Programs (DPPs) can prevent or delay type 2 diabetes (T2D). However, the participation rates in DPPs have been limited. Many individuals at risk of developing diabetes have difficulties making healthy choices because of the cognitive effort required to understand the risks, the role of biomarkers, the consequences of inaction and the actions required to delay or avoid development of T2D. We report on the design and development of a prototype digital tool that decreases cognitive effort for people at risk of developing T2D using the effort-optimized intervention framework.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
diabetes prevention; AI; predictive models; shared decision making
List of contributors:
Paglialonga, Alessia
Authors of the University:
PAGLIALONGA ALESSIA
Handle:
https://iris.cnr.it/handle/20.500.14243/412556
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http://www.scopus.com/record/display.url?eid=2-s2.0-85131106522&origin=inward
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