{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T09:39:46Z","timestamp":1782553186676,"version":"3.54.5"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Oxford Biomedical Research Centre"},{"name":"Wellcome Trust Centre","award":["098461\/Z\/12\/Z"],"award-info":[{"award-number":["098461\/Z\/12\/Z"]}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/N024966\/1"],"award-info":[{"award-number":["EP\/N024966\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"name":"RCUK Digital Economy Programme","award":["EP\/G036861\/1"],"award-info":[{"award-number":["EP\/G036861\/1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Biomed. Eng."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/tbme.2018.2873252","type":"journal-article","created":{"date-parts":[[2018,11,6]],"date-time":"2018-11-06T01:44:11Z","timestamp":1541468651000},"page":"1402-1411","source":"Crossref","is-referenced-by-count":78,"title":["Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data"],"prefix":"10.1109","volume":"66","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3203-8754","authenticated-orcid":false,"given":"John","family":"Prince","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6868-4718","authenticated-orcid":false,"given":"Fernando","family":"Andreotti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maarten","family":"De Vos","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","article-title":"High frequency remote monitoring of Parkinson's disease via smartphone: Platform overview and medication response detection","author":"zhan","year":"2016","journal-title":"arXiv 1601 00960"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2013.08.015"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2721116"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/10618600.2012.681250"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/mds.26723"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2004.04.008"},{"key":"ref37","first-page":"457","article-title":"New nonlinear markers and insights into speech signal degradation for effective tracking of Parkinson's disease symptom severity","author":"tsanas","year":"0","journal-title":"Proc Int Symp Nonlinear Theory Appl"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2009.2036000"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/6139716"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1001\/jamaneurol.2018.0809"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000002876"},{"key":"ref12","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(99)00223-X"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/34.982906"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCME.2009.4906657"},{"key":"ref17","first-page":"3","article-title":"Rectifier nonlinearities improve neural network acoustic models","volume":"30","author":"maas","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/s131216965"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awh198"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2493432.2493449"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512972"},{"key":"ref3","article-title":"The mPower study, Parkinson disease mobile data collected using ResearchKit","volume":"3","author":"bot","year":"2016","journal-title":"Data Science Journal"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2014.07.026"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2017.00555"},{"key":"ref5","first-page":"273","article-title":"Personalized hypothesis tests for detecting medication response in Parkinson disease patients using iPhone sensor data","volume":"21","author":"neto","year":"2016","journal-title":"Pacific Symp Biocomputing"},{"key":"ref8","first-page":"1","article-title":"Confidence limits on phylogenies: An approach using the bootstrap","volume":"39","author":"felsenstein","year":"1985","journal-title":"The Society for the Study of Evolution"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e318293e2ce"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.parkreldis.2015.02.026"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22340"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1586\/14737175.8.12.1841"},{"key":"ref20","article-title":"On the analysis of personalized medication response and classification of case vs control patients in mobile health studies: The mPower case study","author":"neto","year":"2017","journal-title":"arXiv 1706 09574"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMcp043908"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-011-6097-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2033471"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1613\/jair.614"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6579\/aab512"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1076\/edre.7.4.353.8937"}],"container-title":["IEEE Transactions on Biomedical Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10\/8694044\/08521705.pdf?arnumber=8521705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:08:39Z","timestamp":1642003719000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8521705\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":40,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tbme.2018.2873252","relation":{},"ISSN":["0018-9294","1558-2531"],"issn-type":[{"value":"0018-9294","type":"print"},{"value":"1558-2531","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}