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For: Bui DD, Del Fiol G, Jonnalagadda S. PDF text classification to leverage information extraction from publication reports. J Biomed Inform 2016;61:141-8. [PMID: 27044929 DOI: 10.1016/j.jbi.2016.03.026] [Cited by in Crossref: 23] [Cited by in F6Publishing: 8] [Article Influence: 3.8] [Reference Citation Analysis]
Number Citing Articles
1 Mbuagbaw L, Lawson DO, Puljak L, Allison DB, Thabane L. A tutorial on methodological studies: the what, when, how and why. BMC Med Res Methodol 2020;20:226. [PMID: 32894052 DOI: 10.1186/s12874-020-01107-7] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
2 van Dinter R, Tekinerdogan B, Catal C. Automation of systematic literature reviews: A systematic literature review. Information and Software Technology 2021;136:106589. [DOI: 10.1016/j.infsof.2021.106589] [Cited by in Crossref: 7] [Cited by in F6Publishing: 1] [Article Influence: 7.0] [Reference Citation Analysis]
3 Jeon J, Xu X, Zhang Y, Yang L, Cai H. Extraction of Construction Quality Requirements from Textual Specifications via Natural Language Processing. Transportation Research Record 2021;2675:222-37. [DOI: 10.1177/03611981211001385] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Pendergrass SA, Crawford DC. Using Electronic Health Records To Generate Phenotypes For Research. Curr Protoc Hum Genet 2019;100:e80. [PMID: 30516347 DOI: 10.1002/cphg.80] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
5 Bui DDA, Del Fiol G, Hurdle JF, Jonnalagadda S. Extractive text summarization system to aid data extraction from full text in systematic review development. J Biomed Inform 2016;64:265-72. [PMID: 27989816 DOI: 10.1016/j.jbi.2016.10.014] [Cited by in Crossref: 25] [Cited by in F6Publishing: 12] [Article Influence: 4.2] [Reference Citation Analysis]
6 Asif M, Ali I, Malik MSA, Chaudary MH, Tayyaba S, Mahmood MT. Annotation of Software Requirements Specification (SRS), Extractions of Nonfunctional Requirements, and Measurement of Their Tradeoff. IEEE Access 2019;7:36164-76. [DOI: 10.1109/access.2019.2903133] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 2.7] [Reference Citation Analysis]
7 Riedel MC, Salo T, Hays J, Turner MD, Sutherland MT, Turner JA, Laird AR. Automated, Efficient, and Accelerated Knowledge Modeling of the Cognitive Neuroimaging Literature Using the ATHENA Toolkit. Front Neurosci 2019;13:494. [PMID: 31156374 DOI: 10.3389/fnins.2019.00494] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Bui DDA, Wyatt M, Cimino JJ. The UAB Informatics Institute and 2016 CEGS N-GRID de-identification shared task challenge. J Biomed Inform 2017;75S:S54-61. [PMID: 28478268 DOI: 10.1016/j.jbi.2017.05.001] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 1.4] [Reference Citation Analysis]
9 Wang T, Liu L, Liu N, Zhang H, Zhang L, Feng S. A multi-label text classification method via dynamic semantic representation model and deep neural network. Appl Intell 2020;50:2339-51. [DOI: 10.1007/s10489-020-01680-w] [Cited by in Crossref: 22] [Cited by in F6Publishing: 5] [Article Influence: 11.0] [Reference Citation Analysis]
10 Hong Z, Ward L, Chard K, Blaiszik B, Foster I. Challenges and Advances in Information Extraction from Scientific Literature: a Review. JOM 2021;73:3383-400. [DOI: 10.1007/s11837-021-04902-9] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Mirończuk MM, Protasiewicz J. A recent overview of the state-of-the-art elements of text classification. Expert Systems with Applications 2018;106:36-54. [DOI: 10.1016/j.eswa.2018.03.058] [Cited by in Crossref: 106] [Cited by in F6Publishing: 5] [Article Influence: 26.5] [Reference Citation Analysis]
12 [DOI: 10.1109/iccmc.2018.8487847] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
13 Liu W, Liu P, Yang Y, Yi J, Zhu Z. A <word, part of speech> embedding model for text classification. Expert Systems 2019;36. [DOI: 10.1111/exsy.12460] [Reference Citation Analysis]
14 Baviskar D, Ahirrao S, Potdar V, Kotecha K. Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions. IEEE Access 2021;9:72894-936. [DOI: 10.1109/access.2021.3072900] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]
15 Mull HJ, Stolzmann K, Kalver E, Shin MH, Schweizer ML, Asundi A, Mehta P, Stanislawski M, Branch-Elliman W. Novel methodology to measure pre-procedure antimicrobial prophylaxis: integrating text searches with structured data from the Veterans Health Administration's electronic medical record. BMC Med Inform Decis Mak 2020;20:15. [PMID: 32000780 DOI: 10.1186/s12911-020-1031-5] [Reference Citation Analysis]
16 Rekha D, Sangeetha J, Ramaswamy V. Digital document analytics using logistic regressive and deep transition-based dependency parsing. J Supercomput 2022;78:2580-96. [DOI: 10.1007/s11227-021-03973-4] [Reference Citation Analysis]
17 Budhi GS, Chiong R, Pranata I, Hu Z. Using Machine Learning to Predict the Sentiment of Online Reviews: A New Framework for Comparative Analysis. Arch Computat Methods Eng 2021;28:2543-66. [DOI: 10.1007/s11831-020-09464-8] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 7.0] [Reference Citation Analysis]
18 [DOI: 10.1109/icbdaa.2017.8284101] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 1.4] [Reference Citation Analysis]