{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:31:08Z","timestamp":1775068268026,"version":"3.50.1"},"reference-count":149,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","funder":[{"name":"Hong Kong ITF","award":["Project No. ITS\/188\/20"],"award-info":[{"award-number":["Project No. ITS\/188\/20"]}]},{"name":"Institute for Pure and Applied Mathematics IPAM Senior Fellowship"},{"name":"UGC Teaching Award","award":["Project No. 6989041"],"award-info":[{"award-number":["Project No. 6989041"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Big Data"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/tbdata.2021.3103458","type":"journal-article","created":{"date-parts":[[2021,8,12]],"date-time":"2021-08-12T20:02:40Z","timestamp":1628798560000},"page":"1-1","source":"Crossref","is-referenced-by-count":20,"title":["An overview of healthcare data analytics with applications to the COVID-19 pandemic"],"prefix":"10.1109","author":[{"given":"Zhe","family":"Fei","sequence":"first","affiliation":[]},{"given":"Yevgen","family":"Ryeznik","sequence":"additional","affiliation":[]},{"given":"Alex","family":"Sverdlov","sequence":"additional","affiliation":[]},{"given":"Chee Wei","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Weng Kee","family":"Wong","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04277-5_76"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76550-z"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-74164-z"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781316576533"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/BF02551274"},{"key":"ref37","first-page":"115","article-title":"Learning precise timing with LSTM recurrent networks","volume":"3","author":"gers","year":"2002","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CCCI49893.2020.9256562"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-020-01494-0"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-01943-6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1159\/000500354"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3109\/00048674.2010.496359"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1037\/h0042519"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/17512433.2018.1501271"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-019-0774-0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(19)30003-2"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp.23.1.56"},{"key":"ref23","article-title":"Burden of depressive disorders by country, sex, age, and year: Findings from the global burden of disease study","volume":"10","author":"ferrari","year":"2010","journal-title":"PLoS Med"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0231236"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.640741"},{"key":"ref100","article-title":"Coronatracker: Worldwide COVID-19 outbreak data analysis and prediction","volume":"1","author":"hamzah","year":"2020","journal-title":"Bull World Health Organ"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1192\/bjp.134.4.382"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1038\/nrg1522"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1002\/gepi.20459"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1038\/s41564-020-0771-4"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1179\/102453312X13336169156537"},{"key":"ref148","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1111\/rssa.12315","article-title":"Statistical challenges of administrative and transaction data","volume":"181","author":"diggle","year":"2018","journal-title":"J Roy Stat Soc"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1214\/21-AOAS1462"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176348782"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176349744"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-21579-2_9"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/EUROSIM.2013.35"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-011-9272-4"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICNN.1995.488968"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1111\/rssa.12132"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2018.02.014"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41567-021-01187-2"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2020.19686"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-020-00994-6"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1038\/modpathol.2017.181"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-21809-w"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2018.02.038"},{"key":"ref46","first-page":"6571","article-title":"Neural ordinary differential equations","author":"chen","year":"2018","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref45","article-title":"DiffEqFlux.jl &#x2013; A Julia library for neural differential equations","author":"rackauckas","year":"2019"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1111\/cas.13505"},{"key":"ref47","doi-asserted-by":"crossref","DOI":"10.21203\/rs.3.rs-55125\/v1","article-title":"Universal differential equations for scientific machine learning","author":"rackauckas","year":"2020"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1927.0118"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"key":"ref44","article-title":"Safe blues: A method for estimation and control in the fight against COVID-19","author":"dandekar","year":"2020","journal-title":"medRxiv"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2020.100145"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-020-00305-6"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890593"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.2018.1439405"},{"key":"ref124","first-page":"185","article-title":"Parameter estimation using metaheuristics in systems biology: A comprehensive review","volume":"8","author":"sun","year":"2012","journal-title":"IEEE\/ACM Transactions on Computational Biology and Bioinformatics"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1093\/restud\/rdt044"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1214\/18-EJS1427"},{"key":"ref129","article-title":"COVID-19 pandemic prediction for Hungary, a hybrid machine learning approach","volume":"8","author":"pinter","year":"2020","journal-title":"Mathematics MDPI"},{"key":"ref71","first-page":"177","article-title":"Precision matrix estimation in high dimensional Gaussian graphical models with faster rates","author":"wang","year":"2016","journal-title":"Proc Artif Intell Stat"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.2020.1829215"},{"key":"ref70","first-page":"1","article-title":"Estimation and inference for high dimensional generalized linear models: A splitting and smoothing approach","volume":"22","author":"fei","year":"2021","journal-title":"J Mach Learn Res"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1214\/15-AOS1371"},{"key":"ref130","article-title":"Coronavirus COVID-19 spreading in Italy: Optimizing an epidemiological model with dynamic social distancing through Differential Evolution","author":"falco","year":"2020"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1214\/16-AOS1448"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1080\/07350015.2016.1166116"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2018.1442339"},{"key":"ref133","doi-asserted-by":"publisher","DOI":"10.1007\/s10096-020-03901-z"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3012487"},{"key":"ref131","doi-asserted-by":"publisher","DOI":"10.1016\/j.idm.2020.09.003"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12224"},{"key":"ref132","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-020-05743-y"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1356319"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2019.2918140"},{"key":"ref135","doi-asserted-by":"publisher","DOI":"10.3390\/a14020038"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2020.3014923"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2019.2945241"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1198\/016214501753382273"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3052134"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1214\/009053606000001523"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2005.00503.x"},{"key":"ref63","first-page":"1603","article-title":"Adaptive LASSO for sparse high-dimensional regression models","volume":"18","author":"huang","year":"2008","journal-title":"Stat Sinica"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS683"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00372-6"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1111\/rssb.12026"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1007\/s40687-020-00241-4"},{"key":"ref66","first-page":"2869","article-title":"Confidence intervals and hypothesis testing for high-dimensional regression","volume":"15","author":"javanmard","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref142","first-page":"1","article-title":"A statistical approach to adaptive parameter tuning in nature-inspired optimization and optimal sequential design of dose-finding trials","volume":"31","author":"lai","year":"2021","journal-title":"Stat Sinica"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-022513-115545"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2016.03.005"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1214\/15-STS527"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1016\/j.drudis.2020.12.013"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/26939169.2021.1915215"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1111\/biom.13013"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1147"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2015.2450362"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1162\/99608f92.a11bf693"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1038\/nm.3435"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1918529117"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1111\/j.1349-7006.2010.01511.x"},{"key":"ref107","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3024723"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1111\/cbdd.12176"},{"key":"ref106","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2018.2844813"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1158\/1078-0432.CCR-15-0217"},{"key":"ref105","doi-asserted-by":"publisher","DOI":"10.1145\/2591971.2591993"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.7314\/APJCP.2013.14.6.3725"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3153168"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1016\/j.mrfmmm.2010.10.005"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2158885"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3081759"},{"key":"ref111","first-page":"1025","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"key":"ref110","first-page":"6348","article-title":"Learning combinatorial optimization algorithms over graphs","author":"khalil","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2020.03.035"},{"key":"ref99","article-title":"COVID-19 projections","year":"2020"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1198\/jasa.2009.tm08647"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2004999117"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2014.10.007"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2017.01.004"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2000.10473931"},{"key":"ref13","author":"manning","year":"1999","journal-title":"Foundations of Statistical Natural Language Processing"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s13195-014-0087-9"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1177\/1352458507088102"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/2030489"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s12967-015-0659-x"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2013.823775"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2019.101709"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-018-1088-1"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9868.2008.00674.x"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1159\/000502000","article-title":"Traditional and digital biomarkers: Two worlds apart?","volume":"3","author":"barbak","year":"2019","journal-title":"Digital Biomarkers"},{"key":"ref84","first-page":"2541","article-title":"On model selection consistency of Lasso","volume":"7","author":"zhao","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref119","author":"blum","year":"2016","journal-title":"Hybrid Metaheuristics Powerful Tools for Optimization"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/cpt.1036"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2017.1319839"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-011-0156-x"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-011-0154-z"},{"key":"ref116","author":"yang","year":"2010","journal-title":"Particle Swarm Optimization"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.05.001"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1007\/s12553-019-00396-3"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1023\/A:1023081624133"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2017.09.011"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.4066\/biomedicalresearch.29-18-620"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0061258"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1214\/10-AOS798"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1031689014"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOS1221"},{"key":"ref88","author":"carlson","year":"2016","journal-title":"hgu133plus2 db Affymetrix Human Genome U133 Plus 2 0 Array annotation data (chip hgu133plus2)"}],"container-title":["IEEE Transactions on Big Data"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6687317\/7153538\/09512470.pdf?arnumber=9512470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T17:32:00Z","timestamp":1668187920000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9512470\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":149,"URL":"https:\/\/doi.org\/10.1109\/tbdata.2021.3103458","relation":{},"ISSN":["2332-7790","2372-2096"],"issn-type":[{"value":"2332-7790","type":"electronic"},{"value":"2372-2096","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}