Published on 09.05.17 in Vol 5, No 2 (2017): Apr-Jun
Works citing "Effective Information Extraction Framework for Heterogeneous Clinical Reports Using Online Machine Learning and Controlled Vocabularies"
According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7235):
(note that this is only a small subset of citations)
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Spasic I, Nenadic G. Clinical Text Data in Machine Learning: Systematic Review. JMIR Medical Informatics 2020;8(3):e17984
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Zheng S, Jabbour SK, O'Reilly SE, Lu JJ, Dong L, Ding L, Xiao Y, Yue N, Wang F, Zou W. Automated Information Extraction on Treatment and Prognosis for Non–Small Cell Lung Cancer Radiotherapy Patients: Clinical Study. JMIR Medical Informatics 2018;6(1):e8
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Hardjojo A, Gunachandran A, Pang L, Abdullah MRB, Wah W, Chong JWC, Goh EH, Teo SH, Lim G, Lee ML, Hsu W, Lee V, Chen MI, Wong F, Phang JSK. Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in Singapore. JMIR Medical Informatics 2018;6(2):e36
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Zhou L, Suominen H, Gedeon T. Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions. JMIR Medical Informatics 2019;7(2):e11499
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Dantes RB, Zheng S, Lu JJ, Beckman MG, Krishnaswamy A, Richardson LC, Chernetsky-Tejedor S, Wang F. Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform. Medical Care 2018;56(9):e54
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Raghav R, Dhavachelvan P, Vijayakumar V, Subramaniyaswamy V, Abawajy J, Yang L. Bigdata fog based cyber physical system for classifying, identifying and prevention of SARS disease. Journal of Intelligent & Fuzzy Systems 2019;36(5):4361
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Richter-Pechanski P, Geis NA, Kiriakou C, Schwab DM, Dieterich C. Automatic extraction of 12 cardiovascular concepts from German discharge letters using pre-trained language models. DIGITAL HEALTH 2021;7:205520762110576
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Biran O, Feder O, Moatti Y, Kiourtis A, Kyriazis D, Manias G, Mavrogiorgou A, Sgouros NM, T. Barata M, Oldani I, Sanguino MA, Kranas P, Baroni S. PolicyCLOUD: A prototype of a cloud serverless ecosystem for policy analytics. Data & Policy 2022;4
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Bacco L, Russo F, Ambrosio L, D’Antoni F, Vollero L, Vadalà G, Dell’Orletta F, Merone M, Papalia R, Denaro V. Natural language processing in low back pain and spine diseases: A systematic review. Frontiers in Surgery 2022;9
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Saber I, Adamski A, Kuchibhatla M, Abe K, Beckman M, Reyes N, Schulteis R, Pendurthi Singh B, Sitlinger A, Thames EH, Ortel TL. Racial differences in venous thromboembolism: A surveillance program in Durham County, North Carolina. Research and Practice in Thrombosis and Haemostasis 2022;6(5):e12769
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Wendelboe A, Saber I, Dvorak J, Adamski A, Feland N, Reyes N, Abe K, Ortel T, Raskob G. Exploring the Applicability of Using Natural Language Processing to Support Nationwide Venous Thromboembolism Surveillance: Model Evaluation Study. JMIR Bioinformatics and Biotechnology 2022;3(1):e36877
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Falezza F, Piccinelli N, De Rossi G, Roberti A, Kronreif G, Setti F, Fiorini P, Muradore R. Modeling of Surgical Procedures Using Statecharts for Semi-Autonomous Robotic Surgery. IEEE Transactions on Medical Robotics and Bionics 2021;3(4):888
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According to Crossref, the following books are citing this article (DOI 10.2196/medinform.7235):
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. Artificial Intelligence - Emerging Trends and Applications. 2018. Chapter 21
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. Foundations of Artificial Intelligence in Healthcare and Bioscience. 2021. :199
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Manias G, Mavrogiorgou A, Kiourtis A, Kyriazis D. Artificial Intelligence Applications and Innovations. 2021. Chapter 54:687
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Fu S, Wen A, Liu H. Clinical Research Informatics. 2023. Chapter 21:433
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