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An Algorithm (LaD) for Monitoring Childbirth in Settings Where Tracking All Parameters in the World Health Organization Partograph Is Not Feasible: Design and Expert Validation.

Michael S BalikuddembePeter K WakholiNazarius Mbona TumwesigyeTylleskar Thorkild
Published in: JMIR medical informatics (2021)
The LaD algorithm was more sensitive, but had a higher FPR than the childbirth experts, although the differences were not statistically significant. An electronic tool for childbirth monitoring with fewer WHO-recommended parameters may not be inferior to human experts in labor and delivery clinical decision support.
Keyphrases
  • clinical decision support
  • machine learning
  • deep learning
  • endothelial cells
  • electronic health record
  • induced pluripotent stem cells
  • neural network
  • pluripotent stem cells
  • clinical practice
  • clinical evaluation