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Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation.

Shaoying MaShuning JiangOlivia YangXuanzhi ZhangYu FuYusen ZhangAadeeba KaareenMeng LingJian ChenCe Shang
Published in: JMIR formative research (2024)
Our pilot study serves as a compelling demonstration of the capabilities of NLP tools in expediting the processes of evidence synthesis and the identification of research gaps. While future research is needed to statistically test the NLP tool's performance, there is potential for NLP tools to fundamentally transform the approach to evidence synthesis.
Keyphrases
  • machine learning
  • mental health
  • deep learning
  • artificial intelligence
  • current status
  • risk assessment