Medical Concept Normalization
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-55865-8_6
Reference108 articles.
1. Keloth VK, et al. Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J Biomed Inform. 2023;142:104343.
2. Chapman W, Savova G, Elhadad N. ShARe/CLEF shared task 1 for boundary detection and normalization of SNOMED disorders. In: Proceedings of CLEF. 2013.
3. Pradhan S, et al. Semeval-2014 task 7: Analysis of clinical text. In: Proceedings of the 8th international workshop on semantic evaluation (SemEval 2014). 2014.
4. Demner-Fushman D, Rogers WJ, Aronson AR. MetaMap Lite: an evaluation of a new Java implementation of MetaMap. J Am Med Inform Assoc. 2017;24(4):841–4.
5. Savova GK, et al. Mayo clinical text analysis and knowledge extraction system (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc. 2010;17(5):507–13.
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