GRU-TV: Time- and velocity-aware GRU for patient representation on multivariate clinical time-series data. (arXiv:2205.04892v1 [cs.LG])

Electronic health records (EHRs) provide a rich repository to track a
patient's health status. EHRs seek to fully document the patient's
physiological status, and include data that is is high dimensional,
heterogeneous, and multimodal. The significant differences in the sampling
frequency of clinical variables can result in high missing rates and uneven
time intervals between adjacent records in the multivariate clinical
time-series data extracted from EHRs. Current studies using clinical
time-series data for patient characterization view the patient's physiological
status …

arxiv data patient representation series time tv