{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T13:28:06Z","timestamp":1781530086024,"version":"3.54.1"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"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":["61872218"],"award-info":[{"award-number":["61872218"]}],"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":["61721003"],"award-info":[{"award-number":["61721003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2019YFB1404804"],"award-info":[{"award-number":["2019YFB1404804"]}]},{"DOI":"10.13039\/501100017582","name":"Beijing National Research Center for Information Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017582","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004147","name":"Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guoqiang Institute"},{"DOI":"10.13039\/501100004147","name":"Tsinghua University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004147","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Biomed. Health Inform."],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1109\/jbhi.2021.3103271","type":"journal-article","created":{"date-parts":[[2021,8,13]],"date-time":"2021-08-13T19:50:09Z","timestamp":1628884209000},"page":"1362-1373","source":"Crossref","is-referenced-by-count":24,"title":["Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty"],"prefix":"10.1109","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7871-8483","authenticated-orcid":false,"given":"Yiming","family":"Xu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Institute of Artificial Intelligence & BNRist, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaohong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Institute of Artificial Intelligence & BNRist, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyan","family":"Pan","sequence":"additional","affiliation":[{"name":"Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojian","family":"Mao","sequence":"additional","affiliation":[{"name":"Department of Genetics and Endocrinology, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huiying","family":"Liang","sequence":"additional","affiliation":[{"name":"Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guangyu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3228-9166","authenticated-orcid":false,"given":"Ting","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Institute of Artificial Intelligence & BNRist, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0463.2001.tb05760.x"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0141844"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.bpobgyn.2017.11.004"},{"issue":"1","key":"ref4","first-page":"209","article-title":"Disorders of puberty","volume":"60","author":"Blondell","year":"1999","journal-title":"Amer. Family Physician"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-8587(15)00418-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1542\/peds.2008-1783"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.6065\/apem.2013.18.4.202"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1530\/eje.1.02151"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.4068\/cmj.2016.52.1.70"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/jcu.22004"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103361"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00092"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2196\/11728"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooaa063"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/490"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1201\/9781439821862"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.compchemeng.2008.12.012"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-015-0022-1"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2634587"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-009-0295-6"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2883606"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.6.520"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr597"},{"issue":"80","key":"ref24","first-page":"2287","article-title":"Spectral regularization algorithms for learning large incomplete matrices","volume":"11","author":"Mazumder","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2196\/16113"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/1895076"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272005"},{"key":"ref28","first-page":"5689","article-title":"GAIN: Missing data imputation using generative adversarial nets","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yoon","year":"2018"},{"key":"ref29","article-title":"Medical missing data imputation by Stackelberg GAN","author":"Zhang","year":"2018"},{"key":"ref30","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. 2nd Int. Conf. Learn. Representations, ICLR 2014","author":"Kingma","year":"2014"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2018.09.406"},{"key":"ref32","first-page":"5575","article-title":"Multimodal generative models for scalable weakly-supervised learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Wu","year":"2018"},{"key":"ref33","first-page":"1803","article-title":"How to explain individual classification decisions","volume":"11","author":"Baehrens","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2939672"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-013-0679-x"},{"key":"ref36","article-title":"Consistent individualized feature attribution for tree ensembles","author":"Lundberg","year":"2018"},{"key":"ref37","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1111\/j.1744-4667.2012.00094.x"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1136\/adc.44.235.291"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.4103\/2230-8210.145076"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/S0022-3476(52)80205-7"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1159\/000323361"},{"key":"ref43","article-title":"Joint multimodal learning with deep generative models","author":"Suzuki","year":"2017","journal-title":"ICLR (Workshop). OpenReview.net"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/089976602760128018"},{"key":"ref45","article-title":"Generalized product of experts for automatic and principled fusion of Gaussian process predictions","author":"Cao","year":"2014","journal-title":"CoRRabs\/1410.7827"},{"key":"ref46","article-title":"Arcing the edge","author":"Breiman","year":"1997"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.2307\/2699986"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8037515"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:0529-6579.2007.z1.029"},{"key":"ref50","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"J. Mach. Learn. Res."},{"key":"ref51","first-page":"8024","article-title":"PycTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Paszke","year":"2019"},{"key":"ref52","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2015","journal-title":"Proc. 3rd Int. Conf. Learn. Representations"},{"key":"ref53","article-title":"Building autoencoders in Keras","volume":"14","author":"Chollet","year":"2016","journal-title":"The Keras Blog"},{"key":"ref54","volume-title":"Fancyimpute: An Imputation Library for Python","author":"Rubinsteyn"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.fertnstert.2008.11.016"},{"issue":"3","key":"ref56","first-page":"367","article-title":"Central precocious puberty: From physiopathological mechanisms to treatment","volume":"28","author":"Chirico","year":"2014","journal-title":"J. Biol. Regul. Homeost."},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpeds.2011.02.032"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpedp.2017.08.020"}],"container-title":["IEEE Journal of Biomedical and Health Informatics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6221020\/9729643\/09513560.pdf?arnumber=9513560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:37:07Z","timestamp":1705016227000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9513560\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3]]},"references-count":58,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/jbhi.2021.3103271","relation":{},"ISSN":["2168-2194","2168-2208"],"issn-type":[{"value":"2168-2194","type":"print"},{"value":"2168-2208","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3]]}}}