Integration of genetic and clinical information to improve imputation of data missing from electronic health records.
Clinical data of patients' measurements and treatment history stored in electronic health record (EHR) systems are starting to be mined for better treatment options and disease associations. A primary challenge associated with utilizing EHR data is the considerable amount of missing data. Failure to address this issue can introduce significant bias in EHR-based research. Currently, imputation methods rely on correlations among the structured phenotype variables in the EHR. However, genetic [...]
Author(s): Li, Ruowang, Chen, Yong, Moore, Jason H
DOI: 10.1093/jamia/ocz041