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MedEx: a medication information extraction system for clinical narratives.
Xu H, Stenner SP, Doan S, Johnson KB, Waitman LR, Denny JC. Xu H, et al. J Am Med Inform Assoc. 2010 Jan-Feb;17(1):19-24. doi: 10.1197/jamia.M3378. J Am Med Inform Assoc. 2010. PMID: 20064797 Free PMC article.
Medication information is one of the most important types of clinical data in electronic medical records. It is critical for healthcare safety and quality, as well as for clinical research that uses electronic medical record data. ...We d
Medication information is one of the most important types of clinical data in electronic medical records. It is
Extracting and standardizing medication information in clinical text - the MedEx-UIMA system.
Jiang M, Wu Y, Shah A, Priyanka P, Denny JC, Xu H. Jiang M, et al. AMIA Jt Summits Transl Sci Proc. 2014 Apr 7;2014:37-42. eCollection 2014. AMIA Jt Summits Transl Sci Proc. 2014. PMID: 25954575 Free PMC article.
Extraction of medication information embedded in clinical text is important for research using electronic health records (EHRs). However, most of current medication information extraction systems identify drug and sig
Extraction of medication information embedded in clinical text is important for research using electronic health
Application of Natural Language Processing and Network Analysis Techniques to Post-market Reports for the Evaluation of Dose-related Anti-Thymocyte Globulin Safety Patterns.
Botsis T, Foster M, Arya N, Kreimeyer K, Pandey A, Arya D. Botsis T, et al. Appl Clin Inform. 2017 Apr 26;8(2):396-411. doi: 10.4338/ACI-2016-10-RA-0169. Appl Clin Inform. 2017. PMID: 28447098 Free PMC article.
METHODS: We extracted all rabbit Anti-Thymocyte Globulin (rATG) reports submitted to the United States Food and Drug Administration Adverse Event Reporting System (FAERS) from the product's initial licensure in April 16, 1984 through February 8, 2016. We proc …
METHODS: We extracted all rabbit Anti-Thymocyte Globulin (rATG) reports submitted to the United States Food and Drug Administration A …
Facilitating pharmacogenetic studies using electronic health records and natural-language processing: a case study of warfarin.
Xu H, Jiang M, Oetjens M, Bowton EA, Ramirez AH, Jeff JM, Basford MA, Pulley JM, Cowan JD, Wang X, Ritchie MD, Masys DR, Roden DM, Crawford DC, Denny JC. Xu H, et al. J Am Med Inform Assoc. 2011 Jul-Aug;18(4):387-91. doi: 10.1136/amiajnl-2011-000208. J Am Med Inform Assoc. 2011. PMID: 21672908 Free PMC article.
This study sought to develop natural-language-processing algorithms to extract drug-dose information from clinical text, and to assess the capabilities of such tools to automate the data-extraction process for pharmacogenetic studies. ...The authors de …
This study sought to develop natural-language-processing algorithms to extract drug-dose information from clinical text …
Automated extraction of ophthalmic surgery outcomes from the electronic health record.
Wang SY, Pershing S, Tran E, Hernandez-Boussard T. Wang SY, et al. Int J Med Inform. 2020 Jan;133:104007. doi: 10.1016/j.ijmedinf.2019.104007. Epub 2019 Oct 17. Int J Med Inform. 2020. PMID: 31706228
MedEx (version 1.3.7) was used on free-text clinical notes to extract information on eye medications and compared to information from medication orders. ...CONCLUSION: This text-processing pipeline can accurately capture surgical laterali
MedEx (version 1.3.7) was used on free-text clinical notes to extract information on eye medications and compare
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