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Evaluation and recommendations for effective data visualization for seizure forecasting algorithms.

Sharon ChiangRobert MossAngela P BlackMichele JacksonChuck MossJonathan BidwellChristian MeiselTobias Loddenkemper
Published in: JAMIA open (2021)
This effort underlines the importance of incorporating standardized, quantitative methods for assessing the effectiveness of data visualization to translate seizure forecast algorithms into clinical practice.
Keyphrases
  • clinical practice
  • machine learning
  • electronic health record
  • big data
  • deep learning
  • randomized controlled trial
  • systematic review
  • temporal lobe epilepsy
  • artificial intelligence
  • data analysis
  • electron microscopy