A computational method to quantitatively measure pediatric drug safety using electronic medical records.

ABSTRACT:

Background

Drug safety in children is a major concern; however, there is still a lack of methods for quantitatively measuring, let alone to improving, drug safety in children under different clinical conditions. To assess pediatric drug safety under different clinical conditions, a computational method based on Electronic Medical Record (EMR) datasets was proposed.

Methods

In this study, a computational method was designed to extract the significant drug-diagnosis associations (based on a Bonferroni-adjusted hypergeometric P-value < 0.05) among drug and diagnosis co-occurrence in EMR datasets. This allows for differences between pediatric and adult drug use to be compared based on different EMR datasets. The drug-diagnosis associations were further used to generate drug clus

SUBMITTER: Yu G 

PROVIDER: S-EPMC6961323 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature