{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T11:41:50Z","timestamp":1783597310917,"version":"3.55.0"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["92367202"],"award-info":[{"award-number":["92367202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62202279"],"award-info":[{"award-number":["62202279"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Outstanding Youth Science Fund Project","award":["2023HWYQ-039"],"award-info":[{"award-number":["2023HWYQ-039"]}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2022QF018"],"award-info":[{"award-number":["ZR2022QF018"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2023LZH006"],"award-info":[{"award-number":["ZR2023LZH006"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Student Fundamental Research Funds of Shandong University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2025,10]]},"DOI":"10.1109\/jbhi.2025.3561546","type":"journal-article","created":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T13:51:58Z","timestamp":1744811518000},"page":"7057-7067","source":"Crossref","is-referenced-by-count":7,"title":["Multi-Modal Disease Prediction With Hierarchical Self-Supervised Learning"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4017-5262","authenticated-orcid":false,"given":"Zhe","family":"Qu","sequence":"first","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3673-0932","authenticated-orcid":false,"given":"Taihua","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0948-8033","authenticated-orcid":false,"given":"Xin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Alibaba-NTU Global e-Sustainability CorpLab, Nanyang Technological University, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9651-8264","authenticated-orcid":false,"given":"Fanglin","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8124-5186","authenticated-orcid":false,"given":"Wei","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1891-6186","authenticated-orcid":false,"given":"Yonghui","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5777-0593","authenticated-orcid":false,"given":"Yixin","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8262-8883","authenticated-orcid":false,"given":"Lizhen","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2024.3448238"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-012373583-6.50020-7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2011.01.008"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering11030219"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.01.008"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2013.2285378"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.09.039"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2655720"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102536"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1088\/2516-1091\/acc2fe"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-022-04255-z"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2017","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-022-00942-x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32251-9_14"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_21"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759274"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59713-9_62"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3159264"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2024.06.003"},{"key":"ref21","first-page":"920","article-title":"How to learn a graph from smooth signals","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Kalofolias","year":"2016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2815012"},{"key":"ref23","first-page":"1725","article-title":"Simple and deep graph convolutional networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2009.5192987"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1321440.1321503"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2992546"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.3022591"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.24428"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM51629.2021.00156"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401214"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59728-3_55"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref33","first-page":"1877","article-title":"Language models are few-shot learners","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Brown","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.5555\/3524938.3525087"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.5555\/3495724.3497510"},{"key":"ref36","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"You","year":"2020"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/333"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00455-y"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2023.3314663"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-87196-3_11"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2024.102778"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/jbhi.2023.3340956"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02007"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475259"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11691"},{"key":"ref47","first-page":"19314","article-title":"Iterative deep graph learning for graph neural networks: Better and robust node embeddings","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Chen","year":"2020"},{"key":"ref48","article-title":"Tadpole challenge: Prediction of longitudinal evolution in Alzheimer\u2019s disease","author":"Marinescu","year":"2018"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2016.10.045"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20351-1_6"},{"key":"ref51","first-page":"8026","article-title":"Pytorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke","year":"2019"},{"key":"ref52","first-page":"115","article-title":"Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bergstra","year":"2013"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6221020\/11192794\/10966034.pdf?arnumber=10966034","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,6]],"date-time":"2025-10-06T17:38:23Z","timestamp":1759772303000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10966034\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":52,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2025.3561546","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}