Exploring clinical documents through advanced semantic analysis techniques
Parole chiave:
Clinical record, Digitization, Semantic annotation, Paper-based clinical documentAbstract
This paper aims at providing a formal structuring of paper-based clinical records through semantic annotation procedures. In particular, the approach adopted in this explorative study has been based on document management methodologies aiming at exploiting the texts from clinical documents through advanced document analysis, information extraction and modeling techniques, supported by language processing methods, which contribute to creating a comprehensive knowledge repository. The result will be a systematic organization of the most common categories proper to clinical record texts in the Italian language that could be used as a replication model for several health system spheres, with the perspective of providing a conceptual representation of the patients’ clinical history over time.
Riferimenti bibliografici
Abbas, Asim, Muhammad Afzal, Jamil Hussain, Taqdir Ali, Hafiz S.M. Bilal, Sungyoung Lee, and Seokhee Jeon. 2021. “Clinical Concept Extraction with Lexical Semantics to Support Automatic Annotation” International Journal of Environmental Research and Public Health 18, no. 20: 10564. <https://doi.org/10.3390/ijerph182010564>.
Attardi, Giuseppe, Vittoria Cozza, and Daniele Sartiano. 2015. “Annotation and Extraction of Relations from Italian Medical Records.” In Proceedings of 6th Italian Information Retrieval Workshop, Cagliari: CEUR Workshop Proceedings.
Campillos, Leonardo, Louise Deléger, Cyril Grouin, Thierry Hamon, Anne-Laure Ligozat, and Aurélie Névéol. 2018. “A French clinical corpus with comprehensive semantic annotations: development of the Medical Entity and Relation LIMSI annOtated Text corpus (MERLOT).” Language Resources and Evaluation 52, no. 2: 571-601.
Cardillo Elena, Maria Teresa Chiaravalloti, and Erika Pasceri. 2016. “Healthcare Terminology Management and Integration in Italy: Where we are and What we need for Semantic Interoperability.” European Journal for Biomedical Informatics 22, no.1: 2.
Gius, Evelyn, Christoph Meister Jan, Meister Malte, Marco Petris, Christian Bruck, Janina Jacke, Mareike Schumacher, Dominik Gerstorfer, Marie Flüh, and Jan Horstmann. 2021. CATMA 6 (Version 6.3), <https://zenodo.org/record/4353618>.
Hassanzadeh, Hamed, Anthony Nguyen, and Bevan Koopman. 2016. “Evaluation of medical concept annotation systems on clinical records.” In Proceedings of the Australasian Language Technology Association Workshop, 15-24.
Horstmann, Jan. 2020. “Undogmatic Literary Annotation with CATMA”. In Annotations in Scholarly Editions and Research: Functions, Differentiation, Systematization edited by Julia Nantke and Frederik Schlupkothen, 157-176. Berlin, Boston: De Gruyter. <https://doi.org/10.1515/9783110689112-008>.
Kos, Tomaž, Tomaž Kosar, and Marjan Mernik. 2012. “Development of data acquisition systems by using a domain-specific modeling language.” Computers in Industry 63 (3), doi:10.1016/j.compind.2011.09.004.
Meister, Jan Christoph, Evelyn Gius, Jan Horstmann, Janina Jacke, and Marco Petris. 2017. “CATMA 5.0 Tutorial.”, <https://dh-abstracts.library.cmu.edu/works/4195>.
Muhie Seid, Iryna Gurevych, Richard Eckart de Castilho, and Chris Biemann. 2013. “Webanno: A flexible, web-based and visually supported system for distributed annotations.” In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 1-6. Sofia: Association for Computational Linguistics.
Oronoz, Maite, Arantza Casillas, Koldo Gojenola, and Alicia Perez. 2013. “Automatic annotation of medical records in Spanish with disease, drug and substance names.” In Iberoamerican Congress on Pattern Recognition, 536-543, Berlin: Springer.
Owen, John M. 2006. “The digitization of information resources.” In The Scientific Article in the Age of Digitization. Information Science and Knowledge Management, vol. 11. Dordrecht: Springer, <https://doi.org/10.1007/1-4020-5340-1_4>.
Pinal, Patel, Disha Davey, Vishal Panchal, and Parth Pathak. 2018. “Annotation of a large clinical entity corpus.” In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2033-2042.
Savova, Guergana K., James J. Masanz, Philip V. Ogren, Jiaping Zheng, Sunghwan Sohn, Karin C. Kipper-Schuler, and Christopher G. Chute. 2010. “Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.” Journal of the American Medical Informatics Association 17, no. 5: 507-513.
Searle, Thomas, Zeljko Kraljevic, Rebecca Bendayan, Daniel Bean, and Richard Dobson. 2019. “MedCATTrainer: A biomedical free text annotation interface with active learning and research use case specific customisation.” In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, Hong Kong, China, November 2009, 139-144.
Stewart, Samuel Alan, Maia Elizabeth von Maltzahn, and Syed Sibte Raza Abidi. 2012. “Comparing Metamap to MGrep as a Tool for Mapping Free Text to Formal Medical Lexions.” In KECSM@ ISWC, 63-77.
Tou, Huaixiao, Lu Yao, Zhongyu Wei, Xiahai Zhuang, and Bo Zhang. 2018. “Automatic infection detection based on electronic medical records.” BMC bioinformatics 19, no. 5: 117.
##submission.downloads##
Pubblicato
Fascicolo
Sezione
Licenza
Copyright (c) 2021 Cacucci Editore
Questo lavoro è fornito con la licenza Creative Commons Attribuzione - Non commerciale - Condividi allo stesso modo 4.0 Internazionale.
