Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach.

ABSTRACT:

Background

Extracting relevant information about infectious diseases is an essential task. However, a significant obstacle in supporting public health research is the lack of methods for effectively mining large amounts of health data.

Objective

This study aims to use natural language processing (NLP) to extract the key information (clinical factors, social determinants of health) from published cases in the literature.

Methods

The proposed framework integrates a data layer for preparing a data cohort from clinical case reports; an NLP layer to find the clinical and demographic-named entities and relations in the texts; and an evaluation layer for benchmarking performance and analysis. The focus of this study is to extract valuable information from COVID-19 case repor

SUBMITTER: Raza S 

PROVIDER: S-EPMC9879259 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature