Our JAMIA paper (High-throughput phenotyping with temporal sequences) is picked by the International Medical Informatics Association as the best Clinical Research Informatics paper in 2020 (out of 877 papers).

"[…] The first best paper of the CRI section, from Estiri et al. demonstrates how the use of a vector sequential representation of the EHR data combined with a novel sequential pattern mining (SPM) algorithm to characterize temporal relationships between EHR data instances - in particular diagnoses, complications and medications - significantly improves the performance of a high throughput algorithm to predict 10 phenotypes."

link to the synopsis