{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T02:22:38Z","timestamp":1772504558329,"version":"3.50.1"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,25]],"date-time":"2022-05-25T00:00:00Z","timestamp":1653436800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,25]]},"DOI":"10.1109\/eais51927.2022.9787728","type":"proceedings-article","created":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T16:23:35Z","timestamp":1654532615000},"page":"1-8","source":"Crossref","is-referenced-by-count":17,"title":["A Machine Learning approach for Early Detection of Parkinson\u2019s Disease Using acoustic traces"],"prefix":"10.1109","author":[{"given":"Lerina","family":"Aversano","sequence":"first","affiliation":[{"name":"University of Sannio,Dept. of Engineering,Benevento,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mario Luca","family":"Bernardi","sequence":"additional","affiliation":[{"name":"University of Sannio,Dept. of Engineering,Benevento,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marta","family":"Cimitile","sequence":"additional","affiliation":[{"name":"Unitelma Sapienza University,Rome,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Martina","family":"Iammarino","sequence":"additional","affiliation":[{"name":"University of Sannio,Dept. of Engineering,Benevento,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Debora","family":"Montano","sequence":"additional","affiliation":[{"name":"University of Sannio,Dept. of Engineering,Benevento,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chiara","family":"Verdone","sequence":"additional","affiliation":[{"name":"University of Sannio,Dept. of Engineering,Benevento,Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1121\/1.1915893"},{"key":"ref38","article-title":"Understanding lstm–a tutorial into long short-term memory recurrent neural networks","author":"staudemeyer","year":"2019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2017.02.019"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.10.034"},{"key":"ref31","author":"mitchell","year":"1997","journal-title":"Machine Learning"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2021.633752"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1159\/000066148"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.10.022"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2013.2245674"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1038\/nrdp.2017.13"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.108135"},{"key":"ref40","author":"tripathia","year":"2020","journal-title":"Cnn based parkinson’s disease assessment using empirical mode decomposition"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.51.6.1592"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1044\/jshd.3003.217"},{"key":"ref14","article-title":"Kapre: On-gpu audio preprocessing layers for a quick implementation of deep neural network models with keras","author":"choi","year":"2017","journal-title":"Machine Learning for Music Discovery Workshop at 34th International Conference on Machine Learning"},{"key":"ref15","author":"chollet","year":"2015","journal-title":"Keras Deep learning library for theano and tensorflow"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2174\/1874609812666190625140311"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2762475"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113075"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1016\/j.patrec.2019.06.005","article-title":"Diagnosis of diabetes diseases using optimized fuzzy rule set by grey wolf optimization","volume":"125","author":"siva shankar","year":"2019","journal-title":"Pattern Recognition Letters"},{"key":"ref28","first-page":"436","volume":"521","author":"lecun","year":"2015","journal-title":"Deep Learning"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JTEHM.2019.2940900"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref3","first-page":"1","article-title":"A multi-model framework for evaluating type of speech samples having complementary information about parkinson’s disease","author":"ali","year":"2019","journal-title":"2019 International Conference on Electrical Communication and Computer Engineering (ICECCE)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9534176"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.17.5.427"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/WTS51064.2021.9433683"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207380"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1016\/j.procs.2021.08.106","article-title":"Thyroid disease treatment prediction with machine learning approaches","volume":"192","author":"aversano","year":"0","journal-title":"Procedia Computer Science"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/1267919"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ48607.2020.9177948"},{"key":"ref1","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"12th USENIX Symposium on Operating Systems Design and Implementation ( OSDI 16)"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/mds.22340"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2014.01.004"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneuroling.2004.06.001"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1093\/aje\/kwg068"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1155\/1999\/327643"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1002\/mds.10305"},{"key":"ref23","first-page":"109","article-title":"Motor instability in parkinsonian speech intensity","volume":"14","author":"ho","year":"2001","journal-title":"Cognitive and Behavioral Neurology"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/UBMK.2017.8093512"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1159\/000275491"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1080\/136828200410654","article-title":"Voice characteristics in the progression of parkinson’s disease","volume":"35","author":"holmes","year":"2000","journal-title":"International Journal of Language & Communication Disorders"}],"event":{"name":"2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)","location":"Larnaca, Cyprus","start":{"date-parts":[[2022,5,25]]},"end":{"date-parts":[[2022,5,26]]}},"container-title":["2022 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9787685\/9787686\/09787728.pdf?arnumber=9787728","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,4]],"date-time":"2022-08-04T20:41:56Z","timestamp":1659645716000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9787728\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,25]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/eais51927.2022.9787728","relation":{},"subject":[],"published":{"date-parts":[[2022,5,25]]}}}