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