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Measuring the quality of unstructured text in routinely collected electronic health data: a review and application
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Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System
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In: ISSN: 0148-5598 ; EISSN: 1573-689X ; Journal of Medical Systems ; https://hal.archives-ouvertes.fr/hal-03452553 ; Journal of Medical Systems, Springer Verlag (Germany), 2021, 45 (7), ⟨10.1007/s10916-021-01737-4⟩ (2021)
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The Complexity of Medical Device Regulations Has Increased, as Assessed through Data-Driven Techniques
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In: Prosthesis ; Volume 3 ; Issue 4 ; Pages 29-330 (2021)
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Abstract:
Medical device regulations are dynamic, as they need to cover an ever changing landscape. In Europe this has led to a new set of regulations (both for Medical Devices and In Vitro Diagnostics), which replaced the old rules. This study is interested in how the complexity of these medical regulations changed over time and if additional time-based metrics can be associated with any of the complexity metrics. Complexity is defined in terms of readability of the text and it is computed using established linguistic measures, as well as Halstead complexity scores. It was shown that the regulatory complexity of new EU medical device regulations was higher than their predecessors, especially when Halstead complexity measures were considered. The complexity metrics obtained for the new regulations were subsequently associated with the time it took to consider these regulations. Only very weak Pearson’s correlation coefficients were found between the complexity scores and the obtained response times for the new regulations. This could indicate that there are issues with how complexity is perceived by those that need to apply these regulations. Taking the complexity of regulations into account can greatly help with the development of more user friendly regulations. The results from the data-driven methods that are applied in this research indicate that governments could benefit from focusing on making regulations more accessible and utilitarian. This would improve the stakeholder adherence and facilitate effective implementation. This work also highlighted the need to develop more suitable methods to analyse regulatory text to further inform the wider research community.
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Keyword:
data science; law; linguistic analysis; medical devices; natural language processing; optimisation; regulations; regulatory data science
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URL: https://doi.org/10.3390/prosthesis3040029
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CAS: corpus of clinical cases in French
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In: ISSN: 2041-1480 ; Journal of Biomedical Semantics ; https://hal.archives-ouvertes.fr/hal-03021064 ; Journal of Biomedical Semantics, BioMed Central, 2020, ⟨10.1186/s13326-020-00225-x⟩ (2020)
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The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.
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In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal.inria.fr/hal-03476839 ; Studies in Health Technology and Informatics, IOS Press, 2020, 270, pp.432-436. ⟨10.3233/SHTI200197⟩ (2020)
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Fine-grained text simplification in French: steps towards a better grammaticality
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In: ISHIMR Proceedings of the 18th International Symposium on Health Information Management Research ; https://hal.archives-ouvertes.fr/hal-03095247 ; ISHIMR Proceedings of the 18th International Symposium on Health Information Management Research, Sep 2020, Kalmar, Sweden. ⟨10.15626/ishimr.2020.xxx⟩ (2020)
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Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.
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| 8 |
Capturing Domain Semantics with Representation Learning: Applications to Health and Function
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1587658607378958 (2020)
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Detection and analysis of drug non-adherence in social media ; Détection et analyse de la non-adhérence médicamenteuse dans les réseaux sociaux
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In: https://tel.archives-ouvertes.fr/tel-02478927 ; Linguistique. Université de Lille, 2019. Français. ⟨NNT : 2019LILUH026⟩ (2019)
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Distributed knowledge based clinical auto-coding system
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Kaur, Rajvir (S33301). - : U.S., Association for Computational Linguistics, 2019
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| 11 |
Identifying key topics bearing negative sentiment on Twitter: Insights concerning the 2015-2016 Zika epidemic
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In: Biological Sciences Faculty Publications (2019)
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Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2018, Avignon,France)
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In: ISSN: 0302-9743 ; Lecture Notes in Computer Science ; 9th International Conference of the CLEF Association (CLEF 2018) ; https://hal.archives-ouvertes.fr/hal-03044243 ; Bellot, Patrice; Trabelsi, Chiraz; Mothe, Josiane; Murtagh, Fionn; Nie, Jian-Yun; Soulier, Laure; Sanjuan, Eric; Cappellato, Linda; Ferro, Nicola. 9th International Conference of the CLEF Association (CLEF 2018), Sep 2018, Avignon, France. Lecture Notes in Computer Science, Springer Berlin / Heidelberg; Springer, 2018, Experimental IR Meets Multilinguality, Multimodality, and Interaction, 978-3-319-98931-0. ⟨10.1007/978-3-319-98932-7⟩ ; https://link.springer.com/book/10.1007%2F978-3-319-98932-7 (2018)
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Expanding the Diversity of Texts and Applications: Findings from the Section on Clinical Natural Language Processing of the International Medical Informatics Association Yearbook.
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In: ISSN: 0943-4747 ; EISSN: 2364-0502 ; IMIA Yearbook of Medical Informatics ; https://hal.archives-ouvertes.fr/hal-01990501 ; IMIA Yearbook of Medical Informatics, Schattauer, 2018, 27, pp.193-198 (2018)
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| 14 |
Semantic Relatedness and Similarity Reference Standards for Medical Terms ...
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Using data-driven sublanguage pattern mining to induce knowledge models: application in medical image reports knowledge representation
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In: Health Informatics & Administration Faculty Articles (2018)
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Semantic Relatedness and Similarity Reference Standards for Medical Terms
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In: Unified Medical Language System ; https://www.nlm.nih.gov/research/umls/ (2018)
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Understanding of unknown medical words
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In: Biomedical NLP Workshop associated with RANLP 2017 ; https://hal.archives-ouvertes.fr/hal-01736408 ; Biomedical NLP Workshop associated with RANLP 2017, Sep 2017, Varna, Bulgaria (2017)
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Text Simplification Using Consumer Health Vocabulary to Generate Patient-Centered Radiology Reporting: Translation and Evaluation.
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In: Journal of medical Internet research, vol 19, iss 12 (2017)
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Evaluating topic model interpretability from a primary care physician perspective.
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Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
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In: Journal of the American Medical Informatics Association : JAMIA, vol 22, iss 1 (2015)
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