{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T16:48:29Z","timestamp":1775666909804,"version":"3.50.1"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Environmental Health Action Program","award":["2018001350005"],"award-info":[{"award-number":["2018001350005"]}]},{"DOI":"10.13039\/501100012645","name":"Quality of Life Technology Laboratory, University of Texas at Dallas, USA","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012645","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003669","name":"Research of Korea Centers for Disease Control and Prevention, South Korea","doi-asserted-by":"publisher","award":["2016ER670300"],"award-info":[{"award-number":["2016ER670300"]}],"id":[{"id":"10.13039\/501100003669","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3103897","type":"journal-article","created":{"date-parts":[[2021,8,9]],"date-time":"2021-08-09T20:25:56Z","timestamp":1628540756000},"page":"118708-118715","source":"Crossref","is-referenced-by-count":44,"title":["Machine Learning-Based Asthma Risk Prediction Using IoT and Smartphone Applications"],"prefix":"10.1109","volume":"9","author":[{"given":"Gautam S.","family":"Bhat","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1963-126X","authenticated-orcid":false,"given":"Nikhil","family":"Shankar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1428-1451","authenticated-orcid":false,"given":"Dohyeong","family":"Kim","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0647-3186","authenticated-orcid":false,"given":"Dae Jin","family":"Song","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8301-6355","authenticated-orcid":false,"given":"Sungchul","family":"Seo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1852-3104","authenticated-orcid":false,"given":"Issa M. S.","family":"Panahi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4523-9376","authenticated-orcid":false,"given":"Lakshman","family":"Tamil","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","year":"2021","journal-title":"TensorFlow™"},{"key":"ref32","year":"2021","journal-title":"Real-Time Web UI"},{"key":"ref31","year":"2021","journal-title":"Weather Data"},{"key":"ref30","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv 1412 6980"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01424-7_27"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0272989X14535983"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2878254"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922370"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1121\/10.0001600"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611974348.49"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2923707"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2694446"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.05.154"},{"key":"ref18","article-title":"Parkinson’s disease prediction using artificial neural network","volume":"3","author":"sadek","year":"2019","journal-title":"Int J of Academic Health and Medical Res"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.09.625"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s12098-017-2398-x"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1289\/ehp.1307922"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21037\/jtd.2018.06.109"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960551"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4168\/aair.2016.8.1.32"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/APSIPA.2017.8281993"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2016.08.071"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.buildenv.2017.07.042"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemosphere.2017.08.091"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2018-028375"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2636665"},{"key":"ref1","year":"2021","journal-title":"Lung Inflammation Patients With Asthma"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2018.00777"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-01963-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103792"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-20257-6_10"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-9282-5_72"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46976-8_9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2020.0110612"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09509522.pdf?arnumber=9509522","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:57:27Z","timestamp":1639771047000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9509522\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3103897","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}