Biological links in periodontitis and rheumatoid arthritis: Discovery via text-mining PubMed abstracts.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of periodontal research"
DOI: 10.1111/jre.12632
Abstract: BACKGROUND AND OBJECTIVE Primary research concerning molecular pathways that link rheumatoid arthritis with periodontitis is limited. Biomedical literature data mining can offer insights into putative linkage mechanisms toward hypothesis development, based on information discovery. The… read more here.
Keywords: text mining; pubmed abstracts; biological links; periodontitis rheumatoid ... See more keywords
Abstract 5421: Constructing the largest-scale knowledge graph using all PubMed abstracts and its application for highly specific and accurate knowledge retrieval
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-5421
Abstract: Most of the biomedical knowledge the research community has acquired during the past few decades has been deposited in scientific literature as unstructured text. Converting the unstructured text into the structured form will enable novel… read more here.
Keywords: highly specific; largest scale; knowledge graph; pubmed abstracts ... See more keywords
Named Entity Recognition in Pubmed Abstracts for Pharmacovigilance Using Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220615
Abstract: Methods of natural language processing associated with machine learning or deep learning can support detection of adverse drug reactions in abstracts of case reports available on Pubmed. In 2012, Gurulingappa et al. proposed a training… read more here.
Keywords: recognition; pubmed abstracts; deep learning; named entity ... See more keywords