{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:36:52Z","timestamp":1740202612150,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Record linkage is a technique for integrating data from sources or providers where direct access to the data is not possible due to security and privacy considerations. This is a very common scenario for medical data, as patient privacy is a significant concern. To avoid privacy leakage, researchers have adopted k-anonymity to protect raw data from re-identification however they cannot avoid associated information loss, e.g. due to generalisation. Given that individual-level data is often not disclosed in the linkage cases, but yet remains potentially re-discoverable, we propose semantic-based linkage k-anonymity to de-identify record linkage with fewer generalisations and eliminate inference disclosure through semantic reasoning.<\/jats:p>","DOI":"10.3233\/978-1-61499-783-2-84","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T17:29:25Z","timestamp":1740158965000},"source":"Crossref","is-referenced-by-count":0,"title":["A Semantic-Based K-Anonymity Scheme for Health Record Linkage"],"prefix":"10.3233","author":[{"family":"Lu Yang","sequence":"additional","affiliation":[]},{"family":"Sinnott Richard O.","sequence":"additional","affiliation":[]},{"family":"Verspoor Karin","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Integrating and Connecting Care"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T18:26:31Z","timestamp":1740162391000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-782-5&spage=84&doi=10.3233\/978-1-61499-783-2-84"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-783-2-84","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}