标题/作者	年份
Secure and robust machine learning for healthcare: A survey A Qayyum, J Qadir, M Bilal, A Al-Fuqaha IEEE Reviews in Biomedical Engineering 14, 156-180	2020
Deep learning in clinical natural language processing: a methodical review S Wu, K Roberts, S Datta, J Du, Z Ji, Y Si, S Soni, Q Wang, Q Wei, Y Xiang, ... Journal of the American Medical Informatics Association 27 (3), 457-470	2020
Clinical text mining: Secondary use of electronic patient records H Dalianis Springer Nature	2018
Use of natural language processing to extract clinical cancer phenotypes from electronic medical records GK Savova, I Danciu, F Alamudun, T Miller, C Lin, DS Bitterman, ... Cancer research 79 (21), 5463-5470	2019
Challenges and opportunities beyond structured data in analysis of electronic health records M Tayefi, P Ngo, T Chomutare, H Dalianis, E Salvi, A Budrionis, ... Wiley Interdisciplinary Reviews: Computational Statistics 13 (6), e1549	2021
Machine learning in healthcare communication S Siddique, JCL Chow Encyclopedia 1 (1), 220-239	2021
Medical information extraction in the age of deep learning U Hahn, M Oleynik Yearbook of medical informatics 29 (01), 208-220	2020
Medical information retrieval systems for e-Health care records using fuzzy based machine learning model S Sengan, GK Kamalam, J Vellingiri, J Gopal, P Velayutham, ... Microprocessors and Microsystems, 103344	2020
A clinical trials corpus annotated with UMLS entities to enhance the access to evidence-based medicine L Campillos-Llanos, A Valverde-Mateos, A Capllonch-Carrión, ... BMC medical informatics and decision making 21 (1), 1-19	2021
Neural natural language processing for unstructured data in electronic health records: A review I Li, J Pan, J Goldwasser, N Verma, WP Wong, MY Nuzumlalı, B Rosand, ... Computer Science Review 46, 100511	2022
Including papers in languages other than English in systematic reviews: important, feasible, yet often omitted SC Walpole Journal of Clinical Epidemiology 111, 127-134	2019
SIFR annotator: ontology-based semantic annotation of French biomedical text and clinical notes A Tchechmedjiev, A Abdaoui, V Emonet, S Zevio, C Jonquet BMC bioinformatics 19, 1-26	2018
Large language models are zero-shot clinical information extractors M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag arXiv preprint arXiv:2205.12689	2022
Machine learning based natural language processing of radiology reports in orthopaedic trauma AW Olthof, P Shouche, EM Fennema, FFA IJpma, RHC Koolstra, ... Computer methods and programs in biomedicine 208, 106304	2021
The lacunae of Danish natural language processing A Kirkedal, B Plank, L Derczynski, N Schluter Proceedings of the 22nd Nordic Conference on Computational Linguistics, 356-362	2019
Natural language processing of German clinical colorectal cancer notes for guideline-based treatment evaluation M Becker, S Kasper, B Böckmann, KH Jöckel, I Virchow International journal of medical informatics 127, 141-146	2019
Comparing rule-based, feature-based and deep neural methods for de-identification of dutch medical records J Trienes, D Trieschnigg, C Seifert, D Hiemstra arXiv preprint arXiv:2001.05714	2020
Large language models are few-shot clinical information extractors M Agrawal, S Hegselmann, H Lang, Y Kim, D Sontag Proceedings of the 2022 Conference on Empirical Methods in Natural Language …	2022
Chinese medical named entity recognition based on multi-granularity semantic dictionary and multimodal tree C Wang, H Wang, H Zhuang, W Li, S Han, H Zhang, L Zhuang Journal of biomedical informatics 111, 103583	2020
Extracting clinical terms from radiology reports with deep learning K Sugimoto, T Takeda, JH Oh, S Wada, S Konishi, A Yamahata, ... Journal of Biomedical Informatics 116, 103729	2021

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