{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T04:55:29Z","timestamp":1793163329091,"version":"4.5.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"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":["91846205"],"award-info":[{"award-number":["91846205"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013290","name":"National Key Research and Development Program of China Stem Cell and Translational Research","doi-asserted-by":"publisher","award":["2017YFB1400100"],"award-info":[{"award-number":["2017YFB1400100"]}],"id":[{"id":"10.13039\/501100013290","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Method Fund of China","award":["2018IM020200"],"award-info":[{"award-number":["2018IM020200"]}]},{"name":"Shandong Key R&D Program","award":["2018YFJH0506"],"award-info":[{"award-number":["2018YFJH0506"]}]},{"name":"Shandong Key R&D Program","award":["2019JZZY011007"],"award-info":[{"award-number":["2019JZZY011007"]}]},{"DOI":"10.13039\/501100000923","name":"Australian Research Council","doi-asserted-by":"publisher","award":["DP190101985"],"award-info":[{"award-number":["DP190101985"]}],"id":[{"id":"10.13039\/501100000923","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1109\/jbhi.2020.3004143","type":"journal-article","created":{"date-parts":[[2020,6,22]],"date-time":"2020-06-22T21:23:53Z","timestamp":1592861033000},"page":"818-826","source":"Crossref","is-referenced-by-count":87,"title":["Disease Prediction via Graph Neural Networks"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9590-0962","authenticated-orcid":false,"given":"Zhenchao","family":"Sun","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1395-261X","authenticated-orcid":false,"given":"Hongzhi","family":"Yin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7963-8813","authenticated-orcid":false,"given":"Hongxu","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tong","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8262-8883","authenticated-orcid":false,"given":"Lizhen","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref32","first-page":"278","article-title":"Random decision forests","author":"ho","year":"0","journal-title":"Proc Int Conf Document Anal Recognit"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkw1039"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939753"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41431-019-0508-0"},{"key":"ref11","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref12","article-title":"Graph attention networks","author":"veli?kovi?","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref13","article-title":"How powerful are graph neural networks?","author":"xu","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3208"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098126"},{"key":"ref16","first-page":"3504","article-title":"RETAIN: An interpretable predictive model for healthcare using reverse time attention mechanism","author":"choi","year":"0","journal-title":"Proc Conf Neural Inf Process Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098088"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271701"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330779"},{"key":"ref28","first-page":"41","article-title":"Improving accuracy in rare disease patient identification using pattern recognition ensembles","volume":"6","author":"hare","year":"2018","journal-title":"J Pharmaceutical Manage Sci Assoc"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(87)80053-6"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CHASE.2016.7"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220020"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-03011-5"},{"key":"ref5","first-page":"3","article-title":"The optimality of naive bayes","volume":"1","author":"zhang","year":"2004","journal-title":"AA"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymgme.2008.10.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/AICCSA.2008.4493524"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2017.8217759"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1111\/cts.12501"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1377\/hlthaff.24.5.1103"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219986"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00035"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330877"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00059"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2982878"},{"key":"ref26","article-title":"A bootstrap machine learning approach to identify rare disease patients from electronic health records","author":"garg","year":"2016"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403201"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9371311\/09122573.pdf?arnumber=9122573","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:53:22Z","timestamp":1652194402000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9122573\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":36,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2020.3004143","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3]]}}}