Login / Signup

A likelihood-based convolution approach to estimate major health events in longitudinal health records data: an external validation study.

Lisiane PruinelliJiaqi ZhouBethany StaiJesse D ScholdTimothy PruettSisi MaGyorgy Simon
Published in: Journal of the American Medical Informatics Association : JAMIA (2021)
Missing time stamps in electronic healthcare record data can be estimated using time stamps of related events. Since the model was developed on a nationally representative dataset, it could be successfully transferred to a local health system without substantial loss of accuracy.
Keyphrases
  • healthcare
  • public health
  • electronic health record
  • mental health
  • big data
  • health promotion
  • cross sectional
  • risk assessment
  • human health
  • data analysis
  • climate change
  • neural network