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The Real-World Experiences of Persons With Multiple Sclerosis During the First COVID-19 Lockdown: Application of Natural Language Processing.

Deborah ChiaviChristina HaagAndrew ChanChristian Philipp KammChloé SieberMina StanikicStephanie RodgersCaroline PotJϋrg KesselringSalmen AnkeIrene RapoldEmilia J SitekZina-Mary ManjalyClaudio GobbiChiara ZeccaSebastian WaltherKatharina StegmayerRobert HoepnerMilo Alan PuhanViktor Von Wyl
Published in: JMIR medical informatics (2022)
This study illustrates the timely and efficient applicability of an NLP pipeline and thereby serves as a precedent for applied researchers. Our study thereby contributes to both the dissemination of NLP techniques in applied health sciences and the identification of previously unknown experiences and burdens of persons with MS during the pandemic, which may be relevant for future treatment.
Keyphrases
  • multiple sclerosis
  • coronavirus disease
  • sars cov
  • mental health
  • healthcare
  • public health
  • mass spectrometry
  • risk assessment
  • health information
  • climate change