Year |
Citation |
Score |
2023 |
Xie Q, Schenck EJ, Yang HS, Chen Y, Peng Y, Wang F. Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond. Research Square. PMID 38106170 DOI: 10.21203/rs.3.rs-3661764/v1 |
0.313 |
|
2023 |
Tang L, Sun Z, Idnay B, Nestor JG, Soroush A, Elias PA, Xu Z, Ding Y, Durrett G, Rousseau JF, Weng C, Peng Y. Evaluating large language models on medical evidence summarization. Npj Digital Medicine. 6: 158. PMID 37620423 DOI: 10.1038/s41746-023-00896-7 |
0.301 |
|
2023 |
Tang L, Sun Z, Idnay B, Nestor JG, Soroush A, Elias PA, Xu Z, Ding Y, Durrett G, Rousseau J, Weng C, Peng Y. Evaluating Large Language Models on Medical Evidence Summarization. Medrxiv : the Preprint Server For Health Sciences. PMID 37162998 DOI: 10.1101/2023.04.22.23288967 |
0.301 |
|
2022 |
Wang S, Lin M, Ding Y, Shih G, Lu Z, Peng Y. Radiology Text Analysis System (RadText): Architecture and Evaluation. Ieee International Conference On Healthcare Informatics. Ieee International Conference On Healthcare Informatics. 2022: 288-296. PMID 36128510 DOI: 10.1109/ichi54592.2022.00050 |
0.395 |
|
2021 |
Chen Q, Rankine A, Peng Y, Aghaarabi E, Lu Z. Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study. Jmir Medical Informatics. 9: e27386. PMID 34967748 DOI: 10.2196/27386 |
0.356 |
|
2021 |
Islamaj R, Leaman R, Kim S, Kwon D, Wei CH, Comeau DC, Peng Y, Cissel D, Coss C, Fisher C, Guzman R, Kochar PG, Koppel S, Trinh D, Sekiya K, et al. NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature. Scientific Data. 8: 91. PMID 33767203 DOI: 10.1038/s41597-021-00875-1 |
0.324 |
|
2019 |
Du J, Chen Q, Peng Y, Xiang Y, Tao C, Lu Z. ML-Net: multi-label classification of biomedical texts with deep neural networks. Journal of the American Medical Informatics Association : Jamia. PMID 31233120 DOI: 10.1093/Jamia/Ocz085 |
0.357 |
|
2018 |
Peng Y, Rios A, Kavuluru R, Lu Z. Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database : the Journal of Biological Databases and Curation. 2018. PMID 30020437 DOI: 10.1093/Database/Bay073 |
0.403 |
|
2018 |
Allot A, Peng Y, Wei CH, Lee K, Phan L, Lu Z. LitVar: a semantic search engine for linking genomic variant data in PubMed and PMC. Nucleic Acids Research. PMID 29762787 DOI: 10.1093/Nar/Gky355 |
0.382 |
|
2018 |
Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, Ferrero E, Agapow PM, Zietz M, Hoffman MM, Xie W, Rosen GL, Lengerich BJ, Israeli J, Lanchantin J, ... ... Peng Y, et al. Opportunities and obstacles for deep learning in biology and medicine. Journal of the Royal Society, Interface. 15. PMID 29618526 DOI: 10.1098/Rsif.2017.0387 |
0.303 |
|
2016 |
Peng Y, Wei CH, Lu Z. Improving chemical disease relation extraction with rich features and weakly labeled data. Journal of Cheminformatics. 8: 53. PMID 28316651 DOI: 10.1186/S13321-016-0165-Z |
0.405 |
|
2016 |
Kim S, Islamaj Doğan R, Chatr-Aryamontri A, Chang CS, Oughtred R, Rust J, Batista-Navarro R, Carter J, Ananiadou S, Matos S, Santos A, Campos D, Oliveira JL, Singh O, Jonnagaddala J, ... ... Peng Y, et al. BioCreative V BioC track overview: collaborative biocurator assistant task for BioGRID. Database : the Journal of Biological Databases and Curation. 2016. PMID 27589962 DOI: 10.1093/Database/Baw121 |
0.407 |
|
2016 |
Peng Y, Arighi C, Wu CH, Vijay-Shanker K. BioC-compatible full-text passage detection for protein-protein interactions using extended dependency graph. Database : the Journal of Biological Databases and Curation. 2016. PMID 27170286 DOI: 10.1093/Database/Baw072 |
0.411 |
|
2016 |
Wei CH, Peng Y, Leaman R, Davis AP, Mattingly CJ, Li J, Wiegers TC, Lu Z. Assessing the state of the art in biomedical relation extraction: overview of the BioCreative V chemical-disease relation (CDR) task. Database : the Journal of Biological Databases and Curation. 2016. PMID 26994911 DOI: 10.1093/Database/Baw032 |
0.431 |
|
2014 |
Peng Y, Torii M, Wu CH, Vijay-Shanker K. A generalizable NLP framework for fast development of pattern-based biomedical relation extraction systems. Bmc Bioinformatics. 15: 285. PMID 25149151 DOI: 10.1186/1471-2105-15-285 |
0.675 |
|
2014 |
Comeau DC, Batista-Navarro RT, Dai HJ, DoÄŸan RI, Yepes AJ, Khare R, Lu Z, Marques H, Mattingly CJ, Neves M, Peng Y, Rak R, Rinaldi F, Tsai RT, Verspoor K, et al. BioC interoperability track overview. Database : the Journal of Biological Databases and Curation. 2014. PMID 24980129 DOI: 10.1093/Database/Bau053 |
0.461 |
|
2014 |
Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K. iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system. Database : the Journal of Biological Databases and Curation. 2014. PMID 24850848 DOI: 10.1093/Database/Bau038 |
0.614 |
|
2013 |
Comeau DC, Islamaj Do?an R, Ciccarese P, Cohen KB, Krallinger M, Leitner F, Lu Z, Peng Y, Rinaldi F, Torii M, Valencia A, Verspoor K, Wiegers TC, Wu CH, Wilbur WJ. BioC: a minimalist approach to interoperability for biomedical text processing. Database : the Journal of Biological Databases and Curation. 2013: bat064. PMID 24048470 DOI: 10.1093/Database/Bat064 |
0.686 |
|
2012 |
Peng Y, Tudor CO, Torii M, Wu CH, Vijay-Shanker K. iSimp: A sentence simplification system for biomedicail text Proceedings - 2012 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2012. 211-216. DOI: 10.1109/BIBM.2012.6392671 |
0.665 |
|
Show low-probability matches. |