{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T21:35:31Z","timestamp":1778535331292,"version":"3.51.4"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T00:00:00Z","timestamp":1709251200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01EY033861"],"award-info":[{"award-number":["R01EY033861"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Cerner Corporation and OSU Center for Health Systems Innovation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2024,3]]},"DOI":"10.1109\/jbhi.2024.3351949","type":"journal-article","created":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T15:36:12Z","timestamp":1704814572000},"page":"1704-1715","source":"Crossref","is-referenced-by-count":19,"title":["Multi-Branching Temporal Convolutional Network With Tensor Data Completion for Diabetic Retinopathy Prediction"],"prefix":"10.1109","volume":"28","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8764-0375","authenticated-orcid":false,"given":"Zekai","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Industrial &amp; Systems Engineering, The University of Tennessee, Knoxville, TN, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5092-8259","authenticated-orcid":false,"given":"Suhao","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, South Dakota School of Mines and Technology, Rapid City, SD, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8104-2701","authenticated-orcid":false,"given":"Tieming","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Industrial Engineering and Management, Oklahoma State University, Stillwater, OK, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7993-1817","authenticated-orcid":false,"given":"Bing","family":"Yao","sequence":"additional","affiliation":[{"name":"Department of Industrial &amp; Systems Engineering, The University of Tennessee, Knoxville, TN, USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2337\/dc11-1909"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2337\/diacare.25.2007.s90"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CASE49997.2022.9926605"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2022.2092918"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djab097"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2768534"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/srep39012"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3092835"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.2022.1176"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2767063"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2009.12.008"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1186\/s41512-020-00077-0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2337\/dc23-S012"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbt.2023.02.001"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2022.102922"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581075"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-023-09409-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580682"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1080\/24725579.2023.2233992"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.joen.2020.03.025"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1002\/ima.22812"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2022.102285"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2019.12.012"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3040225"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CASE49997.2022.9926714"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy068"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jdiacomp.2010.12.002"},{"key":"ref29","article-title":"Machine learning approaches for detecting diabetic retinopathy from clinical and public health records","volume-title":"Proc. AMIA Annu. Symp.","author":"Ogunyemi","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2017.05.012"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10071473"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1214\/22-AOAS1666"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1080\/09500340903118517"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2294635"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-009-9426-y"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/BICITS51482.2021.9509920"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-12642-4"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3144347"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2023.106641"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.105586"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.3025871"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2017.18152"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2981637"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.3390\/make1030058"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2013.01.003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/24725579.2019.1583704"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s13748-016-0094-0"},{"key":"ref50","first-page":"1","article-title":"KNN approach to unbalanced data distributions: A case study involving information extraction","volume-title":"Proc. Workshop Learn. Imbalanced Datasets","author":"Mani","year":"2003"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1080\/24725579.2021.1879322"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2008.4408452"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2010.08.004"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1137\/07070111X"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2690524"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/b98874"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1145\/192115.192132"},{"key":"ref59","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","volume-title":"CoRR","author":"Bai","year":"2018"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.5555\/3045118.3045167"},{"issue":"1","key":"ref62","first-page":"1929","article-title":"DropOut: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00974"},{"key":"ref64","first-page":"101","article-title":"Density-aware personalized training for risk prediction in imbalanced medical data","volume-title":"Proc. Mach. Learn. Healthcare Conf.","author":"Huo","year":"2022"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2014.6868045"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1001\/jamadermatol.2017.0201"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.3390\/jpm12010032"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-2604-3_16"},{"key":"ref69","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kingma","year":"2015"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/10461324\/10384684.pdf?arnumber=10384684","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T21:23:54Z","timestamp":1709846634000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10384684\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3]]},"references-count":69,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2024.3351949","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.22670059","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.22670059.v1","asserted-by":"object"}]},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3]]}}}