Published on 08.12.17 in Vol 5, No 4 (2017): Oct-Dec
Works citing "Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.9170):
(note that this is only a small subset of citations)
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Luque C, Luna JM, Luque M, Ventura S. An advanced review on text mining in medicine. WIREs Data Mining and Knowledge Discovery 2019;9(3)
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Routray R, Tetarenko N, Abu-Assal C, Mockute R, Assuncao B, Chen H, Bao S, Danysz K, Desai S, Cicirello S, Willis V, Alford SH, Krishnamurthy V, Mingle E. Application of Augmented Intelligence for Pharmacovigilance Case Seriousness Determination. Drug Safety 2020;43(1):57
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Garcia-Rudolph A, Saurí J, Cegarra B, Bernabeu Guitart M. Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit. JMIR Medical Informatics 2020;8(11):e17903
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. Artificial intelligence in medical education. Medical Teacher 2019;41(9):976
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Convertino I, Ferraro S, Blandizzi C, Tuccori M. The usefulness of listening social media for pharmacovigilance purposes: a systematic review. Expert Opinion on Drug Safety 2018;17(11):1081
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Zhou S, Kang H, Yao B, Gong Y. An automated pipeline for analyzing medication event reports in clinical settings. BMC Medical Informatics and Decision Making 2018;18(S5)
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Ramponi A, Giampiccolo S, Tomasoni D, Priami C, Lombardo R. High-Precision Biomedical Relation Extraction for Reducing Human Curation Efforts in Industrial Applications. IEEE Access 2020;8:150999
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Audeh B, Bellet F, Beyens M, Lillo-Le Louët A, Bousquet C. Use of Social Media for Pharmacovigilance Activities: Key Findings and Recommendations from the Vigi4Med Project. Drug Safety 2020;43(9):835
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Mallappallil M, Sabu J, Gruessner A, Salifu M. A review of big data and medical research. SAGE Open Medicine 2020;8:205031212093483
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Pesaranghader A, Matwin S, Sokolova M, Pesaranghader A. deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. Journal of the American Medical Informatics Association 2019;26(5):438
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Spiro A, Fernández García J, Yanover C. Inferring new relations between medical entities using literature curated term co-occurrences. JAMIA Open 2019;2(3):378
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Ujiie S, Yada S, Wakamiya S, Aramaki E. Identification of Adverse Drug Event–Related Japanese Articles: Natural Language Processing Analysis. JMIR Medical Informatics 2020;8(11):e22661
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Zhu D, Ahmed SH. Advertising Click-Through Rate Prediction Based on CNN-LSTM Neural Network. Computational Intelligence and Neuroscience 2021;2021:1
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Wang J, Ahmed SH. Analysis of Sports Performance Prediction Model Based on GA-BP Neural Network Algorithm. Computational Intelligence and Neuroscience 2021;2021:1
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Xu X, Liu F, Ahmed SH. Optimization of Online Education and Teaching Evaluation System Based on GA-BP Neural Network. Computational Intelligence and Neuroscience 2021;2021:1
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Chen S, Han X, Shen Y, Ye C, Ahmed SH. Application of Improved LSTM Algorithm in Macroeconomic Forecasting. Computational Intelligence and Neuroscience 2021;2021:1
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Song F, Ahmed SH. 3D Virtual Reality Implementation of Tourist Attractions Based on the Deep Belief Neural Network. Computational Intelligence and Neuroscience 2021;2021:1
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. Impact of digital transformation on the future of medical education and practice. Journal of Cardiac Surgery 2022;37(9):2799
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Guo W, Ahmed SH. Safety Risk Assessment of Tourism Management System Based on PSO-BP Neural Network. Computational Intelligence and Neuroscience 2021;2021:1
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Li C, Ahmed SH. Construction of the Reverse Resource Recovery System of e-Waste Based on DLRNN. Computational Intelligence and Neuroscience 2021;2021:1
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Chen X, Ahmed SH. Compensated Fuzzy Neural Network-Based Music Teaching Ability Assessment Model. Computational Intelligence and Neuroscience 2021;2021:1
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Zhang Y, Zhang Y, Ahmed SH. Sports Training System Based on Convolutional Neural Networks and Data Mining. Computational Intelligence and Neuroscience 2021;2021:1
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Knisely BM, Hatim Q, Vaughn-Cooke M. Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets. Pharmaceutical Medicine 2022;36(5):307
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Bu M, Ahmed SH. Performance Evaluation of Enterprise Supply Chain Management Based on the Discrete Hopfield Neural Network. Computational Intelligence and Neuroscience 2021;2021:1
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Chen J, Zhao C, Liu K, Liang J, Wu H, Xu S, Ahmed SH. Exchange Rate Forecasting Based on Deep Learning and NSGA-II Models. Computational Intelligence and Neuroscience 2021;2021:1
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Chen X, Ahmed SH. Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network. Computational Intelligence and Neuroscience 2021;2021:1
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Unnikrishnan R, S. SK, V.S. A. Efficient parameter tuning of neural foundation models for drug perspective prediction from unstructured socio-medical data. Engineering Applications of Artificial Intelligence 2023;123:106214
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Santos OD, da Silva ES, Couto LM, Reis GVL, Belo VS. The use of artificial intelligence for automating or semi-automating biomedical literature analyses: A scoping review. Journal of Biomedical Informatics 2023;142:104389
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Schmidt L, Mohamed S, Meader N, Bacardit J, Craig D. Automated data analysis of unstructured grey literature in health research: A mapping review. Research Synthesis Methods 2024;15(2):178
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Modi S, Kasmiran KA, Mohd Sharef N, Sharum MY. Extracting adverse drug events from clinical Notes: A systematic review of approaches used. Journal of Biomedical Informatics 2024;151:104603
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.9170):
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Liu P, Zheng X, Wong M, Leung K. Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. 2020. Chapter 25:326
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. Information Retrieval: A Biomedical and Health Perspective. 2020. Chapter 8:337
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Chai Z, Wan X. Advances in Knowledge Discovery and Data Mining. 2021. Chapter 21:251
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. Big Data Analytics for Healthcare. 2022. :139
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