Similarity-based health risk prediction using Domain Fusion and electronic health records data.

ABSTRACT: Electronic Health Record (EHR) data represents a valuable resource for individualized prospective prediction of health conditions. Statistical methods have been developed to measure patient similarity using EHR data, mostly using clinical attributes. Only a handful of recent methods have combined clinical analytics with other forms of similarity analytics, and no unified framework exists yet to measure comprehensive patient similarity. Here, we developed a generic framework named Patient similarity based on Domain Fusion (PsDF). PsDF performs patient similarity assessment on each available domain data separately, and then integrate the affinity information over various domains into a comprehensive similarity metric. We used the integrated patient similarity to support outcome prediction by

SUBMITTER: Guo J 

PROVIDER: S-EPMC8569826 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature