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Prediction of absenteeism in public schools teachers with machine learning.

Fernando Timoteo FernandesAlexandre Dias Porto Chiavegatto Filho
Published in: Revista de saude publica (2021)
It is possible to predict cases of sickness absence in teachers of public schools with machine learning using public data. The best algorithm showed a better result of the area under the curve when compared with the reference model (logistic regression). The algorithms can contribute to more assertive predictions in the public health and worker health areas, allowing to monitor and help prevent the absence of these workers due to morbidity.
Keyphrases
  • machine learning
  • public health
  • healthcare
  • big data
  • mental health
  • artificial intelligence
  • deep learning
  • emergency department
  • electronic health record
  • risk assessment
  • neural network
  • health promotion