{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:42:27Z","timestamp":1653482547632},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,25]]},"abstract":"<jats:p>Secondary use of health data is made difficult in part because of large semantic heterogeneity. Many efforts are being made to align local terminologies with international standards. With increasing concerns about data privacy, we focused here on the use of machine learning methods to align biological data elements using aggregated features that could be shared as open data. A 3-step methodology (features engineering, blocking strategy and supervised learning) was proposed. The first results, although modest, are encouraging for the future development of this approach.<\/jats:p>","DOI":"10.3233\/shti220469","type":"book-chapter","created":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:13:58Z","timestamp":1653480838000},"source":"Crossref","is-referenced-by-count":0,"title":["Data Element Mapping in the Data Privacy Era"],"prefix":"10.3233","author":[{"given":"Romain","family":"Griffier","sequence":"first","affiliation":[{"name":"Bordeaux University Hospital, Public health, 33000 Bordeaux, France"},{"name":"Bordeaux University, Inserm U1219, Bordeaux Population Health, ERIAS team, 33000 Bordeaux, France"}]},{"given":"S\u00e9bastien","family":"Cossin","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital, Public health, 33000 Bordeaux, France"},{"name":"Bordeaux University, Inserm U1219, Bordeaux Population Health, ERIAS team, 33000 Bordeaux, France"}]},{"given":"Fran\u00e7ois","family":"Konschelle","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital, Public health, 33000 Bordeaux, France"},{"name":"Bordeaux University, Inserm U1219, Bordeaux Population Health, ERIAS team, 33000 Bordeaux, France"}]},{"given":"Fleur","family":"Mougin","sequence":"additional","affiliation":[{"name":"Bordeaux University, Inserm U1219, Bordeaux Population Health, ERIAS team, 33000 Bordeaux, France"}]},{"given":"Vianney","family":"Jouhet","sequence":"additional","affiliation":[{"name":"Bordeaux University Hospital, Public health, 33000 Bordeaux, France"},{"name":"Bordeaux University, Inserm U1219, Bordeaux Population Health, ERIAS team, 33000 Bordeaux, France"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Challenges of Trustable AI and Added-Value on Health"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220469","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T12:13:59Z","timestamp":1653480839000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220469"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220469","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,25]]}}}