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PhenoTagger: a hybrid method for phenotype concept recognition using human phenotype ontology.

, , , , , , , , , and . Bioinform., 37 (13): 1884-1890 (2021)

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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)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)\NCBI\ Disease Corpus: A Resource for Disease Name Recognition and Concept Normalization, , and . Journal of Biomedical Informatics, (2014)BioSentVec: creating sentence embeddings for biomedical texts., , and . ICHI, page 1-5. IEEE, (2019)Universal lymph node detection in multiparametric MRI with selective augmentation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Automated abnormality classification of chest radiographs using deep convolutional neural networks., , , , , , , , , and 1 other author(s). npj Digit. Medicine, (2020)A Fast Deep Learning Model for Textual Relevance in Biomedical Information Retrieval., , , and . WWW, page 77-86. ACM, (2018)Personalized neural language models for real-world query auto completion., and . NAACL-HLT (3), page 208-215. Association for Computational Linguistics, (2018)