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Automating population dose survey processing-An Australian feasibility study.

Kam L LeeMasoumeh SanagouHok C LauPeter Thomas
Published in: Medical physics (2024)
The classifier achieved excellent classification results using the testing data supplied by the facilities. However, since all data supplied were from public facilities, the performance of the classifier may be biased. The performance of the classifier is yet to be tested on a more representative mix of private and public facilities.
Keyphrases
  • healthcare
  • electronic health record
  • big data
  • mental health
  • cross sectional
  • machine learning
  • deep learning
  • emergency department
  • data analysis