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Junyi Li, Xuejie Zhang, Xiaobing Zhou
JMIR Med Inform 2021;9(1):e23086Download Citation: END BibTex RIS
Carlos R Oliveira, Patrick Niccolai, Anette Michelle Ortiz, Sangini S Sheth, Eugene D Shapiro, Linda M Niccolai, Cynthia A Brandt
JMIR Med Inform 2020;8(11):e20826Download Citation: END BibTex RIS

Triaging Patient Complaints: Monte Carlo Cross-Validation of Six Machine Learning Classifiers
Recent research demonstrates the possibility to apply natural language processing (NLP) on electronic medical records to identify postoperative complications [9].Adel Elmessiry, William O Cooper, Thomas F Catron, Jan Karrass, Zhe Zhang, Munindar P Singh
JMIR Med Inform 2017;5(3):e19Download Citation: END BibTex RIS
Kun Zeng, Zhiwei Pan, Yibin Xu, Yingying Qu
JMIR Med Inform 2020;8(7):e17832Download Citation: END BibTex RIS
José Tomás Prieto, Kenneth Scott, Dean McEwen, Laura J Podewils, Alia Al-Tayyib, James Robinson, David Edwards, Seth Foldy, Judith C Shlay, Arthur J Davidson
J Med Internet Res 2020;22(1):e15645Download Citation: END BibTex RIS
Sijia Liu, Yanshan Wang, Andrew Wen, Liwei Wang, Na Hong, Feichen Shen, Steven Bedrick, William Hersh, Hongfang Liu
JMIR Med Inform 2020;8(10):e17376Download Citation: END BibTex RIS

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review
Development of natural language processing (NLP) methods is essential to automatically transform clinical text into structured clinical data that can be directly processed using machine learning algorithms.Seyedmostafa Sheikhalishahi, Riccardo Miotto, Joel T Dudley, Alberto Lavelli, Fabio Rinaldi, Venet Osmani
JMIR Med Inform 2019;7(2):e12239Download Citation: END BibTex RIS
Biomedical Informatics Techniques for Processing and Analyzing Web Blogs of Military Service Members
language processing (NLP) are commonly used to unlock information contained in free narrative-style text notes [2-4].Sergiy Konovalov, Matthew Scotch, Lori Post, Cynthia Brandt
J Med Internet Res 2010;12(4):e45Download Citation: END BibTex RIS
Patient Triage by Topic Modeling of Referral Letters: Feasibility Study
Within the context of musculoskeletal conditions, natural language processing (NLP) was used successfully to automate the analysis of radiology reports [5,6] and patient questionnaires [7].Indeed, NLP has repeatedly demonstrated its feasibility to extract clinical JMIR Med Inform 2020;8(11):e21252Download Citation: END BibTex RIS

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text
For example, micro-blogging (eg, Twitter) has been used to improve natural disaster and emergency response situations [5], and patient-generated data on the PatientsLikeMe website has been used to evaluate the effectiveness of a drug [6].Albert Park, Andrea L Hartzler, Jina Huh, David W McDonald, Wanda Pratt
J Med Internet Res 2015;17(8):e212Download Citation: END BibTex RIS