{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T11:42:04Z","timestamp":1784720524650,"version":"3.55.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,12,1]],"date-time":"2020-12-01T00:00:00Z","timestamp":1606780800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,1]]},"DOI":"10.1109\/ssci47803.2020.9308129","type":"proceedings-article","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T23:12:38Z","timestamp":1609888358000},"page":"42-49","source":"Crossref","is-referenced-by-count":5,"title":["DeepHealth: Deep Representation Learning with Autoencoders for Healthcare Prediction"],"prefix":"10.1109","author":[{"given":"Wen","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfeng","family":"Shu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv preprint arXiv 1409 1556"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref13","article-title":"Adversarial deep structural networks for mammographic mass segmentation","author":"zhu","year":"2016","journal-title":"arXiv preprint arXiv 1612 05970"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.09.013"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00536-8_1"},{"key":"ref16","article-title":"Med3d: Transfer learning for 3d medical image analysis","author":"chen","year":"2019","journal-title":"arXiv preprint arXiv 1904 01870"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2015.7318461"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00865-4"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690370209"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-014-0740-4"},{"key":"ref27","article-title":"Labeled optical coherence tomography (OCT) and Chest X-Ray images for classification","volume":"2","author":"kermany","year":"2018","journal-title":"Mendeley Data"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-014-0425-8"},{"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":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/nrg2999"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.01.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM.2014.6999219"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1177\/0363546514541654"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1098\/rsif.2017.0387"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1038\/nrg3208","article-title":"Mining electronic health records: towards better research applications and clinical care","volume":"13","author":"jensen","year":"2012","journal-title":"Nature Reviews Genetics"},{"key":"ref20","article-title":"K-sparse autoencoders","author":"makhzani","year":"2013","journal-title":"arXiv preprint arXiv 1312 5663"},{"key":"ref22","article-title":"Auto-encoding variational bayes","author":"kingma","year":"2013","journal-title":"arXiv preprint arXiv 1312 6114"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref24","first-page":"3104","article-title":"Sequence to sequence learning with neural networks","author":"sutskever","year":"2014","journal-title":"In Advances in Neural Information Processing Systems"},{"key":"ref23","first-page":"432","article-title":"Simple sparsification improves sparse denoising autoencoders in denoising highly corrupted images","author":"cho","year":"2013","journal-title":"In International Conference on Machine Learning"},{"key":"ref26","article-title":"Adaptive subgradient methods for online learning and stochastic optimization","volume":"12","author":"duchi","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_36"}],"event":{"name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","location":"Canberra, ACT, Australia","start":{"date-parts":[[2020,12,1]]},"end":{"date-parts":[[2020,12,4]]}},"container-title":["2020 IEEE Symposium Series on Computational Intelligence (SSCI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9308061\/9308107\/09308129.pdf?arnumber=9308129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,30]],"date-time":"2022-06-30T15:16:00Z","timestamp":1656602160000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9308129\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,1]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ssci47803.2020.9308129","relation":{},"subject":[],"published":{"date-parts":[[2020,12,1]]}}}