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Additional file 1: of BioReader: a text mining tool for performing classification of biomedical literature

By Christian Simon (1594489), Kristian Davidsen (5140055), Christina Hansen (4922467), Emily Seymour (3411119), Mike Barnkob (6296306) and Lars Olsen (164008)

Abstract

Performance of all 10 BioReader algorithms and MedlineRanker classifying articles relating to infectious diseases vs. non-infectious diseases (allergy, autoimmunity, cancer, etc.). (DOCX 47 kb

Topics: Genetics, Molecular Biology, Ecology, Immunology, Marine Biology, Science Policy, Infectious Diseases, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, Database curation, Text mining, Machine learning, Biological databases, Literature survey, PubMed, Document classification
Year: 2019
DOI identifier: 10.6084/m9.figshare.7672655.v1
OAI identifier: oai:figshare.com:article/7672655
Provided by: FigShare
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