Concept libraries for automatic electronic health record based phenotyping: A review.

ABSTRACT:

Introduction

Electronic health records (EHR) are linked together to examine disease history and to undertake research into the causes and outcomes of disease. However, the process of constructing algorithms for phenotyping (e.g., identifying disease characteristics) or health characteristics (e.g., smoker) is very time consuming and resource costly. In addition, results can vary greatly between researchers. Reusing or building on algorithms that others have created is a compelling solution to these problems. However, sharing algorithms is not a common practice and many published studies do not detail the clinical code lists used by the researchers in the disease/characteristic definition. To address these challenges, a number of centres across the world have developed health data p

SUBMITTER: Almowil ZA 

PROVIDER: S-EPMC8210840 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature