Identifying Symptom Information in Clinical Notes Using Natural Language Processing.

ABSTRACT:

Background

Symptoms are a core concept of nursing interest. Large-scale secondary data reuse of notes in electronic health records (EHRs) has the potential to increase the quantity and quality of symptom research. However, the symptom language used in clinical notes is complex. A need exists for methods designed specifically to identify and study symptom information from EHR notes.

Objectives

We aim to describe a method that combines standardized vocabularies, clinical expertise, and natural language processing to generate comprehensive symptom vocabularies and identify symptom information in EHR notes. We piloted this method with five diverse symptom concepts: constipation, depressed mood, disturbed sleep, fatigue, and palpitations.

Methods

First, we obtained synonym

SUBMITTER: Koleck TA 

PROVIDER: S-EPMC9109773 | biostudies-literature | 2021 May-Jun 01

REPOSITORIES: biostudies-literature