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NCBI disease corpus: A resource for disease name recognition and concept normalization

, , and . Journal of Biomedical Informatics, (2014)
DOI: 10.1016/j.jbi.2013.12.006

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\NCBI\ Disease Corpus: A Resource for Disease Name Recognition and Concept Normalization, , and . Journal of Biomedical Informatics, (2014)Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models., , , and . CoRR, (2018)Text mining tools for assisting literature curation., , and . BCB, page 590-591. ACM, (2014)Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies., , , , , , , and . Pac Symp Biocomput, (2006)Session Introduction., , , and . Pacific Symposium on Biocomputing, page 110-113. (2014)Bridging the gap: Incorporating a semantic similarity measure for effectively mapping PubMed queries to documents., , , and . Journal of Biomedical Informatics, (2017)BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale., , , , , and . CoRR, (2019)NCBI disease corpus: A resource for disease name recognition and concept normalization, , and . Journal of Biomedical Informatics, (2014)MedGen: A Python Natural Language Processing Toolkit for Medical Text Processing., , , , , , , , , and 6 other author(s). CoRR, (2023)Automated abnormality classification of chest radiographs using deep convolutional neural networks., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2020)