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Natural Language Processing and Machine Learning Methods to Characterize Unstructured Patient-Reported Outcomes: Validation Study.

Zhao-Hua LuJin-Ah SimJade Xiaoqing WangChristopher B ForrestKevin R KrullDeo Kumar SrivastavaMelissa M HudsonLeslie L RobisonJustin N BakerI-Chan Huang
Published in: Journal of medical Internet research (2021)
The BERT method performed better than the other methods. As an alternative to using standard PRO surveys, collecting unstructured PROs via interviews or conversations during clinical encounters and applying NLP/ML methods can facilitate PRO assessment in child and adolescent cancer survivors.
Keyphrases
  • patient reported outcomes
  • machine learning
  • young adults
  • mental health
  • anti inflammatory
  • autism spectrum disorder
  • cross sectional
  • artificial intelligence
  • deep learning