Novel approach by natural language processing for COVID-19 knowledge discovery.

ABSTRACT:

Background

The impact of COVID-19 on public health has mandated an 'all hands on deck' scientific response. The current clinical study and basic research on COVID-19 are mainly based on existing publications or our knowledge of coronavirus. However, efficiently retrieval of accurate, relevant knowledge on COVID-19 can pose significant challenges for researchers.

Methods

To improve quality in accessing important literature findings, we developed a novel natural language processing (NLP) method to automatically recognize the associations among potential targeted host organ systems, associated clinical manifestations, and pathways. We further validated these associations through clinician experts' evaluations and prioritize candidate drug targets through bioinformatics network

SUBMITTER: Wang L 

PROVIDER: S-EPMC8970612 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature