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BMC Medical Informatics and Decision Making|April 5, 2019
Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparisonYaoyun Zhang, Firat Tiryaki, Min Jiang, et al.Journal of the American Medical Informatics Association : JAMIA|September 15, 2020
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologiesLaila Rasmy, Firat Tiryaki, Yujia Zhou, et al.AMIA ... Annual Symposium Proceedings. AMIA Symposium|April 21, 2020
Relation Extraction from Clinical Narratives Using Pre-trained Language ModelsQiang Wei, Zongcheng Ji, Yuqi Si, et al.JCO Clinical Cancer Informatics|May 5, 2020
Efficient and Accurate Extracting of Unstructured EHRs on Cancer Therapy Responses for the Development of RECIST Natural Language Processing Tools: Part I, the CorpusYalun Li, Yung-Hung Luo, Jason A Wampfler, et al.Journal of the American Medical Informatics Association : JAMIA|May 29, 2019
A study of deep learning approaches for medication and adverse drug event extraction from clinical textQiang Wei, Zongcheng Ji, Zhiheng Li, et al.BMC Medical Informatics and Decision Making|April 10, 2019
Time-sensitive clinical concept embeddings learned from large electronic health recordsYang Xiang, Jun Xu, Yuqi Si, et al.Journal of the American Medical Informatics Association : JAMIA|January 19, 2018
DataMed - an open source discovery index for finding biomedical datasetsXiaoling Chen, Anupama E Gururaj, Burak Ozyurt, et al.Pageof 1