BioinformaticsBMC Medical Informatics and Decision MakingPeer-reviewed
A Clustering Approach for Detecting Implausible Observation Values in Electronic Health Records Data
Hossein Estiri, Jeffrey Gordon Klann, Shawn N. Murphy
This paper develops a clustering-based method to detect implausible values in EHR data, showing it has high specificity and fewer false positives than conventional approaches.