NewsMeSH: A new classifier designed to annotate health news with MeSH headings

作者：

Highlights：

• We present an automated text classifier based on the MEDLINE/MeSH thesaurus, for the classification of health news.

• The classifier evaluates scientific text (ref annotated articles) and news (ref news articles annotated by experts).

• This classifier is tailor-fit to public health and healthcare experts, in the light of their specific challenges and needs.

• We focused on three domains: Coronavirus, Mental Health and Diabetes, considering the known relations between them.

摘要

•We present an automated text classifier based on the MEDLINE/MeSH thesaurus, for the classification of health news.•The classifier evaluates scientific text (ref annotated articles) and news (ref news articles annotated by experts).•This classifier is tailor-fit to public health and healthcare experts, in the light of their specific challenges and needs.•We focused on three domains: Coronavirus, Mental Health and Diabetes, considering the known relations between them.

论文关键词：Big data,Semantic technologies,Public health,Healthcare,Text mining,MeSH headings,MEDLINE,PubMed,COVID-19,Diabetes,Mental health

论文评审过程：Received 6 April 2020, Revised 21 January 2021, Accepted 11 March 2021, Available online 13 March 2021, Version of Record 25 March 2021.

论文官网地址：https://doi.org/10.1016/j.artmed.2021.102053