{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T21:47:48Z","timestamp":1774043268499,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100032139","name":"Tr\u01b0\u1eddng \u0110\u1ea1i h\u1ecdc S\u01b0 ph\u1ea1m Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh","doi-asserted-by":"publisher","award":["CS.2023.19.16TD"],"award-info":[{"award-number":["CS.2023.19.16TD"]}],"id":[{"id":"10.13039\/100032139","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3670686","type":"journal-article","created":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T20:51:06Z","timestamp":1772657466000},"page":"40060-40077","source":"Crossref","is-referenced-by-count":0,"title":["Uncovering Clinical Insights From Electronic Health Records Through a Graph Neural Network for Diabetes Prediction"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4329-7428","authenticated-orcid":false,"given":"Nguyen Minh","family":"Hai","sequence":"first","affiliation":[{"name":"Faculty of Physics, Ho Chi Minh City University of Education, Ho Chi Minh City, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2203-551X","authenticated-orcid":false,"given":"Nguyen Phuong","family":"Nam","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Ho Chi Minh City University of Education, Ho Chi Minh City, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7543-5207","authenticated-orcid":false,"given":"Nguyen van","family":"Thinh","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, Ho Chi Minh City University of Education, Ho Chi Minh City, Vietnam"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Report of the Second Meeting of the WHO Technical Advisory Group on Diabetes: Virtual Meeting","year":"2022"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/9781119697473.ch2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/INDIACom61295.2024.10498997"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02533-w"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2023369"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103671"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2636665"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.4314\/jagst.v23i1.3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3415155"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.csbj.2020.05.017"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3450439.3451855"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1049\/cvi2.12223"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2024.104616"},{"key":"ref14","first-page":"5763","article-title":"Predictive modeling with temporal graphical representation on electronic health records","volume-title":"Proc. Int. Joint Conf. Artif. Intell.","author":"Chen"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocad168"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.05.048"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-75784-5"},{"key":"ref18","first-page":"1024","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Hamilton"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.35"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.178"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.62762\/TIS.2025.367320"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2021.02.015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1051\/itmconf\/20257002021"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00455-y"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3709143"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-43715-z"},{"key":"ref29","article-title":"Task-oriented predictive (top-BERT): Novel approach for predicting diabetic complications using a single-center EHR data","author":"Islam","year":"2024","journal-title":"medRxiv"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5753\/brasnam.2024.2983"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1256"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2023.1213711"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2021.102272"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac405"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1080\/1120009x.2025.2561459"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0175508"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1111\/jcpt.13479"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.36076\/ppj.2020\/23\/s1"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70679-1_5"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1089\/big.2020.0070"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271701"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2019.00120"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"ref46","first-page":"11305","article-title":"Semi-supervised classification with graph convolutional networks","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","author":"Jiang"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2022.3224727"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11421328.pdf?arnumber=11421328","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T19:59:54Z","timestamp":1774036794000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11421328\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3670686","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}