{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T06:48:17Z","timestamp":1791874097265,"version":"4.3.4"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/tdmrep.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/cbms69103.2026.00034","type":"proceedings-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T15:25:06Z","timestamp":1791559506000},"page":"138-145","source":"Crossref","is-referenced-by-count":0,"title":["Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation"],"prefix":"10.1109","author":[{"given":"Adam","family":"Jakobsen","sequence":"first","affiliation":[{"name":"SimulaMet"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sushant","family":"Gautam","sequence":"additional","affiliation":[{"name":"SimulaMet"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hugo Lewi","family":"Hammer","sequence":"additional","affiliation":[{"name":"SimulaMet"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanne","family":"Olofsdotter","sequence":"additional","affiliation":[{"name":"Uppsala University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miriam S","family":"Johanson","sequence":"additional","affiliation":[{"name":"Oslo Metropolitan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P\u00e5l","family":"Halvorsen","sequence":"additional","affiliation":[{"name":"SimulaMet"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vajira","family":"Thambawita","sequence":"additional","affiliation":[{"name":"SimulaMet"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11920-023-01426-8"},{"key":"ref2","author":"Health Organization","year":"2022","journal-title":"Mental disorders"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssmph.2021.100847"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/20552076251330528"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11920-019-1094-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-49614-1_34"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3120083"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-023-00927-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1561\/9781601988195"},{"key":"ref10","article-title":"Generating privacy-preserving longitudinal synthetic data","volume-title":"NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI","author":"van Hoorn","year":"2023"},{"key":"ref11","article-title":"Privsyn: Differentially private data synthesis","volume-title":"ArXiv preprint","volume":"abs\/2104.11527","author":"Zhang","year":"2021"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1176\/appi.books.9780890425596"},{"key":"ref13","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Lewis","year":"2020"},{"key":"ref14","first-page":"286","article-title":"Generating multi-label discrete patient records using generative adversarial networks","volume-title":"Machine Learning for Healthcare Conference","author":"Choi","year":"2017"},{"key":"ref15","first-page":"7333","article-title":"Modeling tabular data using conditional GAN","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Xu","year":"2019"},{"key":"ref16","first-page":"4833","article-title":"Generating synthetic data for healthcare: a guide to methods and applications","volume":"23","author":"Das","year":"2023","journal-title":"Sensors"},{"key":"ref17","article-title":"Real-valued (medical) time series generation with recurrent conditional gans","volume-title":"ArXiv preprint","volume":"abs\/1706.02633","author":"Esteban","year":"2017"},{"key":"ref18","first-page":"171","article-title":"Using doppelg\u00e4nger domains for privacy-preserving data sharing in medical research","volume-title":"Proceedings of the 2020 ACM Conference on Health, Inference, and Learning","author":"Lin","year":"2020"},{"key":"ref19","first-page":"103777","article-title":"Medvae: Medical variational autoencoder for patient representation learning and clustering","volume":"118","author":"Biswal","year":"2021","journal-title":"Journal of Biomedical Informatics"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref21","article-title":"Differentially private generative adversarial network","volume-title":"ArXiv preprint","volume":"abs\/1802.06739","author":"Xie","year":"2018"},{"key":"ref22","article-title":"PATE-GAN: generating synthetic data with differential privacy guarantees","volume-title":"7th International Conference on Learning Representations","author":"Jordon","year":"2019"},{"key":"ref23","first-page":"20552076211059218","article-title":"A scoping review of the utility-privacy trade-off of deep generative models for medical data synthesis","volume-title":"Digital Health","volume":"7","author":"Kaissis","year":"2021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-022-00742-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06291-2"},{"key":"ref26","article-title":"Extracting training data from large language models","volume-title":"ArXiv preprint","volume":"abs\/2012.07805","author":"Carlini","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606763"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/s25144305"},{"key":"ref29","volume-title":"ICD-10: international statistical classification of diseases and related health problems: tenth revision","author":"Health Organization","year":"2004"},{"key":"ref30","volume-title":"Longitudinal examination of dsm-5 anxiety and depression scales","author":"Vidal Arenas","year":"2023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/mpr.329"},{"key":"ref32","first-page":"211","article-title":"Sparse bayesian learning and the relevance vector machine","volume":"1","author":"Tipping","year":"2001","journal-title":"Journal of Machine Learning Research"},{"key":"ref33","article-title":"Mistral 7b","volume-title":"ArXiv preprint","volume":"abs\/2310.06825","author":"Jiang","year":"2023"},{"key":"ref34","article-title":"The faiss library","volume-title":"ArXiv preprint","volume":"abs\/2401.08281","author":"Douze","year":"2024"},{"key":"ref35","first-page":"1457","article-title":"Jensen-shannon divergence and its properties","volume":"40","author":"Lin","year":"1991","journal-title":"IEEE Transactions on Information Theory"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.jkss.2012.10.002"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2013.03.018"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1142\/S0218488502001648"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.49"}],"event":{"name":"2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS)","location":"Limassol, Cyprus","start":{"date-parts":[[2026,6,3]]},"end":{"date-parts":[[2026,6,5]]}},"container-title":["2026 IEEE 39th International Symposium on Computer-Based Medical Systems (CBMS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11718051\/11718057\/11718369.pdf?arnumber=11718369","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T06:06:20Z","timestamp":1791871580000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11718369\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/cbms69103.2026.00034","relation":{},"subject":[],"published":{"date-parts":[[2026,6]]}}}