Integration of large-scale community-developed causal loop diagrams: a Natural Language Processing approach to merging factors based on semantic similarity

Integration of large-scale community-developed causal loop diagrams: a Natural Language Processing approach to merging factors based on semantic similarity

Abstract Background Complex public health problems have been addressed in communities through systems thinking and participatory methods like Group Model Building (GMB) and Causal Loop Diagrams (CLDs) albeit with some challenges. This study aimed to explore the feasibility of Natural Language Proces...

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Bibliographic Details
Main Authors: Melissa Valdivia Cabrera, Michael Johnstone, Joshua Hayward, Kristy A. Bolton, Douglas Creighton
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Public Health
Subjects:
Natural Language Processing
Semantic similarity
Systems thinking
Community
Health
Online Access:https://doi.org/10.1186/s12889-025-22142-3
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https://doi.org/10.1186/s12889-025-22142-3

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