Construction of Cohorts of Similar Patients From Automatic Extraction of Medical Concepts: Phenotype Extraction Study.

ABSTRACT:

Background

Reliable and interpretable automatic extraction of clinical phenotypes from large electronic medical record databases remains a challenge, especially in a language other than English.

Objective

We aimed to provide an automated end-to-end extraction of cohorts of similar patients from electronic health records for systemic diseases.

Methods

Our multistep algorithm includes a named-entity recognition step, a multilabel classification using medical subject headings ontology, and the computation of patient similarity. A selection of cohorts of similar patients on a priori annotated phenotypes was performed. Six phenotypes were selected for their clinical significance: P1, osteoporosis; P2, nephritis in systemic erythematosus lupus; P3, interstitial lung disease

SUBMITTER: Gerardin C 

PROVIDER: S-EPMC9808583 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature