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Discovering new pathways toward integration between health and sustainable development goals with natural language processing and network science.

Thomas Bryan SmithRaffaele VaccaLuca MantegazzaIlaria Capua
Published in: Globalization and health (2023)
Our analysis demonstrates the feasibility and promise of NLP and network science for synthesizing large amounts of health-related scientific literature and for suggesting novel research and policy domains to co-advance multiple SDGs. Many of the 'zipper themes' identified by our method resonate with the One Health perspective that human, animal, and plant health are closely interdependent. This and similar perspectives will help meet the challenge of 'rewiring' sustainability research to co-advance goals in health and sustainability.
Keyphrases
  • public health
  • healthcare
  • mental health
  • health information
  • endothelial cells
  • systematic review
  • machine learning
  • human health
  • network analysis
  • life cycle
  • cell wall
  • pluripotent stem cells