Classifying literature mentions of biological pathogens as experimentally studied using natural language processing.

ABSTRACT:

Background

Information pertaining to mechanisms, management and treatment of disease-causing pathogens including viruses and bacteria is readily available from research publications indexed in MEDLINE. However, identifying the literature that specifically characterises these pathogens and their properties based on experimental research, important for understanding of the molecular basis of diseases caused by these agents, requires sifting through a large number of articles to exclude incidental mentions of the pathogens, or references to pathogens in other non-experimental contexts such as public health.

Objective

In this work, we lay the foundations for the development of automatic methods for characterising mentions of pathogens in scientific literature, focusing on the ta

SUBMITTER: Jimeno Yepes AJ 

PROVIDER: S-EPMC9889128 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature