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The traditional way of Parkinson's disease identification by clinical parameters is more costly and uncomfortable for rural people to avail the testing and diagnosis from the remote place. So, the cloud\u2010assisted Parkinson's disease identification system (CAPDIS) is proposed based on non\u2010clinical parameters with patient\u2010centric and cost\u2010effective features for helping the poor patients living in rural as well as urban areas. In addition, the proposed system diagnoses the remote patient by examining the symptoms like dysphonia which is identified as the most severe neurodegenerative disorder in the world. Further, the proposed system has experimented with the benchmark voice dataset collected from the University of California\u2010Irvine (UCI) repository. It shows that the proposed CAPDIS system with adaptive linear kernel support vector machines (k\u2010SVM) classifier has significant improvements on detection accuracy, specificity, sensitivity, and Matthews's correlation coefficient scores while comparing to the existing classifiers. Therefore, the proposed adaptive linear k\u2010SVM classifiers provide 10% improvements on prediction accuracy and F1\u2010Score over the existing polynomial, radial basis, and sigmoidal\u2010based k\u2010SVM classifiers.<\/jats:p>","DOI":"10.1002\/cpe.6419","type":"journal-article","created":{"date-parts":[[2021,6,9]],"date-time":"2021-06-09T12:01:41Z","timestamp":1623240101000},"update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Cloud\u2010assisted Parkinson disease identification system for remote patient monitoring and diagnosis in the smart healthcare applications"],"prefix":"10.1002","volume":"33","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-6137-9427","authenticated-orcid":false,"given":"Karthikeyan","family":"Harimoorthy","sequence":"first","affiliation":[{"name":"Research scholar Anna University Chennai India"}]},{"given":"Menakadevi","family":"Thangavelu","sequence":"additional","affiliation":[{"name":"Adhiyamaan College of Engineering Hosur India"}]}],"member":"311","published-online":{"date-parts":[[2021,6,8]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2016.01.009"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.05.056"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2014.05.068"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-013-9949-0"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-015-2999-5"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2015.11.010"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2008.2005954"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.07.006"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2015.12.011"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.09.003"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2015.08.041"},{"key":"e_1_2_10_13_1","volume-title":"Oxford Specialist Handbooks in Neurology","author":"Edwards MJ","year":"2008"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1097\/WCO.0000000000000112"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.39289.437454.AD"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11910-005-0072-6"},{"key":"e_1_2_10_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-008-9180-1"},{"key":"e_1_2_10_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00429-013-0510-1"},{"key":"e_1_2_10_19_1","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1007\/PL00022912","article-title":"Cognition and emotion in different stages and subtypes of Parkinson's disease","volume":"247","author":"Stocchi F","year":"2000","journal-title":"J Neurol"},{"key":"e_1_2_10_20_1","doi-asserted-by":"crossref","first-page":"e1","DOI":"10.1016\/j.baga.2012.10.001","article-title":"Parkinson disease, movement disorders and dementia","volume":"2","author":"Ceravolo R","year":"2012","journal-title":"Basal Ganglia"},{"key":"e_1_2_10_21_1","doi-asserted-by":"publisher","DOI":"10.5607\/en.2015.24.2.103"},{"key":"e_1_2_10_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apnr.2014.12.008"},{"key":"e_1_2_10_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2015.08.005"},{"key":"e_1_2_10_24_1","doi-asserted-by":"publisher","DOI":"10.1002\/mds.26281"},{"key":"e_1_2_10_25_1","doi-asserted-by":"publisher","DOI":"10.3758\/CABN.3.4.275"},{"key":"e_1_2_10_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10072-008-0971-9"},{"key":"e_1_2_10_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00455-014-9547-4"},{"key":"e_1_2_10_28_1","doi-asserted-by":"crossref","unstructured":"WibawaMS NugrohoHA SetiawanNA.Performance evaluation of combined feature selection and classification methods in diagnosing Parkinson disease based on voice feature. 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