{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T05:43:48Z","timestamp":1785822228375,"version":"3.56.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Foundation of Development of an Ultra-large-scale Ubiquitous Network Quality Monitoring System Based on Trusted Edge Intelligence","award":["SYG202311"],"award-info":[{"award-number":["SYG202311"]}]},{"name":"Ethics Committee of Jiangsu Provincial Hospital of Traditional Chinese Medicine","award":["YJZ202429"],"award-info":[{"award-number":["YJZ202429"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput. Soc. Syst."],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1109\/tcss.2026.3665229","type":"journal-article","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T20:57:07Z","timestamp":1772485027000},"page":"5414-5429","source":"Crossref","is-referenced-by-count":2,"title":["A Diffusion Model and Few-Shot Learning Framework for EEG Abnormality Classification and Cerebral Infarction Assessment"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-5990-1825","authenticated-orcid":false,"given":"Zeyi","family":"Li","sequence":"first","affiliation":[{"name":"Nanjing University of Posts and Telecommunications","place":["Nanjing, China"],"department":["School of Computer Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9720-3449","authenticated-orcid":false,"given":"Yu","family":"Wan","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications","place":["Nanjing, China"],"department":["School of Modern Posts"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5395-4663","authenticated-orcid":false,"given":"Liang","family":"Xu","sequence":"additional","affiliation":[{"name":"Jiangsu Province Hospital of Chinese Medicine","place":["Nanjing, China"],"department":["Department of Functional Examination"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0974-5049","authenticated-orcid":false,"given":"Wangyu","family":"Su","sequence":"additional","affiliation":[{"name":"University of Wisconsin\u2013Madison","place":["Madison, WI, USA"],"department":["College of Letters and Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2006-1129","authenticated-orcid":false,"given":"Pan","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications","place":["Nanjing, China"],"department":["School of Modern Posts"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3488-4679","authenticated-orcid":false,"given":"Xiaokang","family":"Zhou","sequence":"additional","affiliation":[{"name":"Kansai University","place":["Osaka, Japan"],"department":["Faculty of Business Data Science"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph19042465"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1161\/strokeaha.120.030150"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/app10217453"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s19050987"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s12028-020-01051-w"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/s19010210"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2024.3449748"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2024.1494934"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2024.109713"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2024.3435460"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2023.3237715"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120217"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-020-09626-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinph.2021.03.005"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/1550059419875916"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2021.3125023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISPCE-ASIA60405.2023.10365931"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102399"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108535"},{"key":"ref21","first-page":"15077","article-title":"The autoencoding variational autoencoder","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Cemgil","year":"2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6361"},{"key":"ref23","article-title":"The curse of recursion: Training on generated data makes models forget","author":"Shumailov","year":"2023"},{"key":"ref24","first-page":"8162","article-title":"Improved denoising diffusion probabilistic models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Nichol","year":"2021"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2023.3259431"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557699"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/cje.2022.00.173"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.09.055"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969125"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3330864"},{"key":"ref31","article-title":"Variational autoencoder for deep learning of images, labels and captions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Pu","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2021.765525"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489727"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/s20164485"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2019.2936441"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/abb580"},{"key":"ref37","first-page":"17564","article-title":"TABDDPM: Modelling tabular data with diffusion models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Kotelnikov","year":"2023"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2023.103482"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.3390\/s23135960"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.107893"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/math12243915"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-023-02002-8"},{"key":"ref43","article-title":"Automated clinical data extraction with knowledge conditioned LLMs","author":"Li","year":"2024"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1111\/epi.17474"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2196\/65984"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.health.2024.100378"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-024-01079-8"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3132021"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/5174815"}],"container-title":["IEEE Transactions on Computational Social Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6570650\/11640440\/11418775.pdf?arnumber=11418775","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T04:44:20Z","timestamp":1785818660000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11418775\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":49,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tcss.2026.3665229","relation":{},"ISSN":["2329-924X","2373-7476"],"issn-type":[{"value":"2329-924X","type":"electronic"},{"value":"2373-7476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8]]}}}