Using multiclass classification to automate the identification of patient safety incident reports by type and severity

Samankaltaisia teoksia

• Can Unified Medical Language System–based semantic representation improve automated identification of patient safety incident reports by type and severity?
  Tekijä: Wang, Ying, et al.
  Julkaistu: (2020)
• Using convolutional neural networks to identify patient safety incident reports by type and severity
  Tekijä: Wang, Ying, et al.
  Julkaistu: (2019)
• An analysis of computer-related patient safety incidents to inform the development of a classification
  Tekijä: Magrabi, Farah, et al.
  Julkaistu: (2010)
• Automated identification of extreme-risk events in clinical incident reports
  Tekijä: Ong, Mei-Sing, et al.
  Julkaistu: (2012)
• Using FDA reports to inform a classification for health information technology safety problems
  Tekijä: Magrabi, Farah, et al.
  Julkaistu: (2011)