2 citations · 2 across the 4 of their papers we have counts for
4 papers
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Doudou Zhou, Han Tong, Linshanshan Wang +21
The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data acro…
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records
Jun Wen, Jue Hou, Clara-Lea Bonzel +14
Electronic health record (EHR) data are increasingly used to support real-world evidence (RWE) studies. Yet its ability to generate reliable RWE is limited by the lack of readily a…
ssROC: Semi-Supervised ROC Analysis for Reliable and Streamlined Evaluation of Phenotyping Algorithms
Jianhui Gao, Clara-Lea Bonzel, Chuan Hong +3
High-throughput phenotyping will accelerate the use of electronic health records (EHRs) for translational research. A critical roadblock is the extensive medi…
Harnessing electronic health records for real-world evidence
Jue Hou, Rachel Zhao, Jessica Gronsbell +13
While randomized controlled trials (RCTs) are the gold-standard for establishing the efficacy and safety of a medical treatment, real-world evidence (RWE) generated from real-world…