{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T18:41:50Z","timestamp":1765305710158,"version":"3.46.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T00:00:00Z","timestamp":1761955200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1109\/jbhi.2025.3586325","type":"journal-article","created":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T13:39:03Z","timestamp":1751981943000},"page":"8484-8496","source":"Crossref","is-referenced-by-count":0,"title":["Application of Transformer Neural Networks for Data Cleaning in Emergency Room Logs: A Case Study From the Bordeaux University Hospital"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1741-3560","authenticated-orcid":false,"given":"Dylan","family":"Russon","sequence":"first","affiliation":[{"name":"Bordeaux Population Health INSERM 1219, team AHeaD, University of Bordeaux, Bordeaux, France"}]},{"given":"C\u00e9dric","family":"Gil-Jardin\u00e9","sequence":"additional","affiliation":[{"name":"Bordeaux Population Health INSERM 1219, team AHeaD, University of Bordeaux, Bordeaux, France"}]},{"given":"Lara","family":"Marcel","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital - Pôle Urgences Adultes, Bordeaux, France"}]},{"given":"Laure","family":"Chanel","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital - Pôle Urgences Adultes, Bordeaux, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4069-0523","authenticated-orcid":false,"given":"Sylvain","family":"Faure","sequence":"additional","affiliation":[{"name":"Laboratoire de Mathématiques ORSAY, UMR 8628, Université Paris-Saclay, Orsay, France"}]},{"given":"Bertrand","family":"Maury","sequence":"additional","affiliation":[{"name":"Laboratoire de Mathématiques ORSAY, UMR 8628, Université Paris-Saclay, Orsay, France"}]},{"given":"Gabrielle","family":"Chenais","sequence":"additional","affiliation":[{"name":"Bordeaux Population Health INSERM 1219, team AHeaD, University of Bordeaux, Bordeaux, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8031-7400","authenticated-orcid":false,"given":"Emmanuel","family":"Lagarde","sequence":"additional","affiliation":[{"name":"Bordeaux Population Health INSERM 1219, team AHeaD, University of Bordeaux, Bordeaux, France"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-04938-0"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s43856-023-00356-z"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41588-023-01558-w"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-020-00367-w"},{"key":"ref5","first-page":"6000","article-title":"Attention is all you need","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani","year":"2017"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/bioadv\/vbad001"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00060"},{"key":"ref8","first-page":"623","article-title":"Transehr: Self-supervised transformer for clinical time series data","volume-title":"Proc. 3 rd Mach. Learn. Health Symp.","volume":"225","author":"Xu","year":"2023"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3224727"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01235-0"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3389\/fenrg.2021.652801"},{"issue":"4","key":"ref12","first-page":"545","article-title":"Multiple imputation for multivariate missing-data problems: A data analysts perspective","volume-title":"Multivariate Behav. Res.","volume":"33","author":"Schafer","year":"1998"},{"key":"ref13","first-page":"185","article-title":"A data imputation method for multivariate time series based on generative adversarial network","volume-title":"Neurocomputing","volume":"360","author":"Guo","year":"2019"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1016\/j.ins.2022.11.037","article-title":"A genetic algorithm for multivariate missing data imputation","volume":"619","author":"Figueroa-Garca","year":"2023","journal-title":"Inf. Sci."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3098511"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01892-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1055\/s-0040-1715567"},{"issue":"4","key":"ref18","first-page":"3","article-title":"Data cleaning: Problems and current approaches","volume":"23","author":"Rahm","year":"2000","journal-title":"IEEE Data Eng. Bull."},{"volume-title":"Data Quality Assessment","year":"2007","author":"Arkady","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979444"},{"article-title":"A probabilistic database approach to autoencoder-based data cleaning","year":"2021","author":"Mauritz","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-021-00699-w"},{"key":"ref23","article-title":"Tomographic auto-encoder: Unsupervised Bayesian recovery of corrupted data","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Tonolini","year":"2021"},{"issue":"1","key":"ref24","first-page":"24","article-title":"From cleaning before ML to cleaning for ML","volume":"44","author":"Neutatz","year":"2021","journal-title":"IEEE Data Eng. Bull."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14778\/3137628.3137631"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3299869.3324956"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/s12652-020-02761-x","article-title":"Improving time series forecasting using LSTM and attention models","volume":"13","author":"Abbasimehr","year":"2021","journal-title":"J. Ambient Intell. Humanized Comput."},{"issue":"3","key":"ref29","doi-asserted-by":"crossref","first-page":"428","DOI":"10.3390\/iot2030022","article-title":"Towards a hybrid deep learning model for anomalous activities detection in Internet of Things networks","volume":"2","author":"Ullah","year":"2021","journal-title":"IoT"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2017.2767063"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"72","DOI":"10.18653\/v1\/W19-1909","article-title":"Publicly available clinical BERT embeddings","volume-title":"Proc. 2nd Clin. Natural Lang. Process. Workshop","author":"Alsentzer","year":"2019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/cancers14194763"},{"key":"ref33","article-title":"Deep learning transformer models for building a comprehensive and real-time trauma observatory: Development and validation study","volume-title":"JMIR AI","volume":"2","author":"Chenais","year":"2023"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107390"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.14778\/3574245.3574258"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.14778\/3457390.3457391"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/icde55515.2023.00391"},{"key":"ref38","first-page":"25","article-title":"Enhancing missing values imputation through transformer-based predictive modeling","volume-title":"IgMin Res","volume":"2","author":"Ayub H.","year":"2024"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2023.3261707"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2024.1449272"},{"key":"ref41","article-title":"Sert: A transformer based model for multivariate temporal sensor data with missing values for environmental monitoring","volume-title":"Comput. Geosciences","volume":"188","author":"Nejad","year":"2024"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3224880"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-023-10662-6"},{"article-title":"A critical review of recurrent neural networks for sequence learning","year":"2015","author":"Lipton","key":"ref44"},{"issue":"1","key":"ref45","first-page":"1","article-title":"Exploring the limits of transfer learning with a unified text-to-text transformer","volume":"21","author":"Raffel","year":"2020","journal-title":"J. Mach. Learn. Res."},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5446"},{"year":"2023","key":"ref47","article-title":"GLUE benchmark leaderboard"},{"key":"ref48","first-page":"3266","article-title":"SuperGLUE: A stickier benchmark for general-purpose language understanding systems","volume-title":"Proc. 33rd Int. Conf. Neural Inf. Process. Syst.","author":"Wang","year":"2019"},{"article-title":"SuperGLUE benchmark leaderboard","year":"2023","author":"Benchmark","key":"ref49"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w19-5006"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/p18-1031"},{"key":"ref52","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. 3rd Int. Conf. Learn. Representations (ICLR)","author":"Kingma","year":"2015"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11231104\/11072523.pdf?arnumber=11072523","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T18:34:30Z","timestamp":1765305270000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11072523\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11]]},"references-count":52,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3586325","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"type":"print","value":"2168-2194"},{"type":"electronic","value":"2168-2208"}],"subject":[],"published":{"date-parts":[[2025,11]]}}}