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Toward a normalized clinical drug knowledge base in China - applying the RxNorm model to Chinese clinical drugs.

, , , , , , , , , and . JAMIA, 25 (7): 809-818 (2018)

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A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text., , , , and . AMIA, AMIA, (2015)Time-sensitive clinical concept embeddings learned from large electronic health records., , , , , , , , , and 5 other author(s). BMC Medical Informatics Decis. Mak., 19-S (2): 139-148 (2019)Exploring Temporal Patterns of Suicidal Behavior on Twitter., , , , and . ICHI Workshops, page 55-56. IEEE Computer Society, (2018)Knowledge-Based Approach for Named Entity Recognition in Biomedical Literature: A Use Case in Biomedical Software Identification., , , and . IEA/AIE (2), volume 10351 of Lecture Notes in Computer Science, page 386-395. Springer, (2017)Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text., , , , , , , , and . BMC Med. Inf. & Decision Making, 19-S (5): 8 (2019)Detect Attributes of Medical Concepts via Sequence Labeling., , , , , , , , and . ICHI, page 1-2. IEEE, (2019)Citation Sentiment Analysis in Clinical Trial Papers., , , , , and . AMIA, AMIA, (2015)Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning., , , , , , and . Database, (2016)Extracting psychiatric stressors for suicide from social media using deep learning., , , , , , and . BMC Med. Inf. & Decision Making, 18 (S-2): 77-87 (2018)Special issue of BMC medical informatics and decision making on health natural language processing., , , and . BMC Med. Inf. & Decision Making, 19-S (3): 76:1-76:3 (2019)