BioWordVec, improving biomedical word embeddings with subword information and MeSH
2019 · Scientific Data · 461 citations
https://doi.org/10.1038/s41597-019-0055-0
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Qingyu Chen
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Qingyu Chen is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Topic Modeling & Biomedical Text Mining and Ontologies & Retinal Imaging and Analysis. The author has an h-index of 40, co-authored 226 publications.
ORCID: 0000-0002-6036-1516Papers by this author
worksImproving large language models for clinical named entity recognition via prompt engineering
2024 · Journal of the American Medical Informatics Association · 245 citations
https://doi.org/10.1093/jamia/ocad259
MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval
2023 · Bioinformatics · 113 citations
https://doi.org/10.1093/bioinformatics/btad651
SNHG20: A vital lncRNA in multiple human cancers
2019 · Journal of Cellular Physiology · 80 citations
https://doi.org/10.1002/jcp.28143
Medical foundation large language models for comprehensive text analysis and beyond
2025 · npj Digital Medicine · 38 citations
https://doi.org/10.1038/s41746-025-01533-1
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
2020 · BMC Medical Informatics and Decision Making · 21 citations
https://doi.org/10.1186/s12911-020-1044-0
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