المؤلفون: Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé

المصدر: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-18 (2024)

مصطلحات موضوعية: Clinical de-identification, Distant supervision, Automatic annotation, Named entity recognition, Word representations, Deep learning, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/1472-6947Test

الوصول الحر: https://doaj.org/article/e93c4f82eaa84b88bf5ffd1185ee8736Test

المؤلفون: Azzouzi, Mohamed El, Coatrieux, Gouenou, Bellafqira, Reda, Delamarre, Denis, Riou, Christine, Oubenali, Naima, Cabon, Sandie, Cuggia, Marc, Bouzillé, Guillaume

المساهمون: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Traitement de l'Information Medicale (LaTIM), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Département lmage et Traitement Information (IMT Atlantique - ITI), IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), Centre Hospitalier Universitaire Rennes, The research reported in this study is funded by INSERM (Institut national de la santé et de la recherche médicale). The funding body played no specific role in the conceptualization, design, data collection, analysis, decision to publish, or preparation of the manuscript. Publication costs are funded by DOMASIA Research team.

المصدر: ISSN: 1472-6947.

مصطلحات موضوعية: Automatic annotation, Clinical de-identification, Deep learning, Distant supervision, French language, Named entity recognition, Word representations, [SDV.IB]Life Sciences [q-bio]/Bioengineering

العلاقة: info:eu-repo/semantics/altIdentifier/pmid/38365677; hal-04477654; https://hal.science/hal-04477654Test; https://hal.science/hal-04477654/documentTest; https://hal.science/hal-04477654/file/s12911-024-02422-5.pdfTest; PUBMED: 38365677

الإتاحة: https://doi.org/10.1186/s12911-024-02422-5Test
https://hal.science/hal-04477654Test
https://hal.science/hal-04477654/documentTest
https://hal.science/hal-04477654/file/s12911-024-02422-5.pdfTest

المؤلفون: Mohamed El Azzouzi, Gouenou Coatrieux, Reda Bellafqira, Denis Delamarre, Christine Riou, Naima Oubenali, Sandie Cabon, Marc Cuggia, Guillaume Bouzillé

مصطلحات موضوعية: Artificial Intelligence and Image Processing, Information Systems, Clinical de-identification, Distant supervision, Automatic annotation, Named entity recognition, Word representations, Deep learning, French language

العلاقة: https://figshare.com/articles/journal_contribution/Additional_file_1_of_Automatic_de-identification_of_French_electronic_health_records_a_cost-effective_approach_exploiting_distant_supervision_and_deep_learning_models/25237268Test

الإتاحة: https://doi.org/10.6084/m9.figshare.25237268.v1Test
https://figshare.com/articles/journal_contribution/Additional_file_1_of_Automatic_de-identification_of_French_electronic_health_records_a_cost-effective_approach_exploiting_distant_supervision_and_deep_learning_models/25237268Test

المؤلفون: Rosario Catelli, Francesco Gargiulo, Valentina Casola, Giuseppe De Pietro, Hamido Fujita, Massimo Esposito

المصدر: IEEE Access, Vol 9, Pp 19097-19110 (2021)

مصطلحات موضوعية: Clinical de-identification, contextualized embedding, deep learning, Italian language, named entity recognition, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/9335570Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/ea5f09c704cd49d18ed17ce5d46d11b4Test

المؤلفون: Catelli R., Gargiulo F., Casola V., De Pietro G., Fujita H., Esposito M.

المساهمون: Catelli, R., Gargiulo, F., Casola, V., De Pietro, G., Fujita, H., Esposito, M.

مصطلحات موضوعية: Bit error rate, clinical de-identification, contextualized embedding, COVID-19, Deep learning, Italian language, Labeling, named entity recognition, Natural language processing, Task analysi, Training

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000615041100001; volume:9; firstpage:19097; lastpage:19110; numberofpages:14; journal:IEEE ACCESS; http://hdl.handle.net/11588/837697Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85106836723

الإتاحة: https://doi.org/10.1109/ACCESS.2021.3054479Test
http://hdl.handle.net/11588/837697Test

المؤلفون: Catelli R., Casola V., De Pietro G., Fujita H., Esposito M.

المساهمون: Catelli, R., Casola, V., De Pietro, G., Fujita, H., Esposito, M.

مصطلحات موضوعية: Clinical de-identification, Contextualized embedding, Deep learning, Named entity recognition, Sub-document level analysis

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000614643400012; volume:213; firstpage:106649; journal:KNOWLEDGE-BASED SYSTEMS; http://hdl.handle.net/11588/837696Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85098056798

الإتاحة: https://doi.org/10.1016/j.knosys.2020.106649Test
http://hdl.handle.net/11588/837696Test

المؤلفون: Rosario Catelli, Valentina Casola, Massimo Esposito, Giuseppe De Pietro, Hamido Fujita

المساهمون: Catelli, R., Casola, V., De Pietro, G., Fujita, H., Esposito, M.

المصدر: Knowledge-based systems 213 (2021). doi:10.1016/j.knosys.2020.106649
info:cnr-pdr/source/autori:Catelli R.; Casola V.; De Pietro G.; Fujita H.; Esposito M./titolo:Combining contextualized word representation and sub-document level analysis through Bi-LSTM+CRF architecture for clinical de-identification/doi:10.1016%2Fj.knosys.2020.106649/rivista:Knowledge-based systems/anno:2021/pagina_da:/pagina_a:/intervallo_pagine:/volume:213

مصطلحات موضوعية: Feature engineering, Conditional random field, Information Systems and Management, Computer science, Clinical de-identification, 02 engineering and technology, computer.software_genre, Contextualized embedding, Sequence labeling, Management Information Systems, Named-entity recognition, Artificial Intelligence, Handwriting, 020204 information systems, 0202 electrical engineering, electronic engineering, information engineering, Polysemy, business.industry, Deep learning, Sub-document level analysis, Syntax, Named entity recognition, 020201 artificial intelligence & image processing, Language model, Artificial intelligence, business, computer, Software, Word (computer architecture), Natural language processing

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1cfdf98435ce7c3994d43ddd2c4ba39Test
http://hdl.handle.net/11588/837696Test

المؤلفون: Massimo Esposito, Francesco Gargiulo, Valentina Casola, Hamido Fujita, Giuseppe De Pietro, Rosario Catelli

المساهمون: Catelli, R., Gargiulo, F., Casola, V., De Pietro, G., Fujita, H., Esposito, M.

المصدر: Applied Soft Computing

مصطلحات موضوعية: 0209 industrial biotechnology, Privacy laws of the United States, Clinical de-identification, 02 engineering and technology, computer.software_genre, Article, Task (project management), 020901 industrial engineering & automation, Named-entity recognition, 0202 electrical engineering, electronic engineering, information engineering, Protected health information, Information retrieval, business.industry, Deep learning, De-identification, COVID-19, Annotated Italian data set, Named entity recognition, Informatics, 020201 artificial intelligence & image processing, Artificial intelligence, Transfer of learning, business, computer, Software

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f54b85f13057cd04653731500df0748Test

المؤلفون: Catelli R., Gargiulo F., Casola V., De Pietro G., Fujita H., Esposito M.

المساهمون: Catelli, R., Gargiulo, F., Casola, V., De Pietro, G., Fujita, H., Esposito, M.

مصطلحات موضوعية: Annotated Italian data set, Clinical de-identification, COVID-19, Deep learning, Named entity recognition

العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000602871300011; volume:97; firstpage:106779; journal:APPLIED SOFT COMPUTING; http://hdl.handle.net/11588/837698Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85092315597

الإتاحة: https://doi.org/10.1016/j.asoc.2020.106779Test
http://hdl.handle.net/11588/837698Test