{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T05:09:00Z","timestamp":1771045740021,"version":"3.50.1"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100002347","name":"Federal Ministry for Education and Research (BMBF) of Germany for the EXASENS","doi-asserted-by":"publisher","award":["13U13862"],"award-info":[{"award-number":["13U13862"]}],"id":[{"id":"10.13039\/501100002347","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Open Access Fund of the Leibniz Association"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3023971","type":"journal-article","created":{"date-parts":[[2020,9,14]],"date-time":"2020-09-14T21:10:39Z","timestamp":1600117839000},"page":"168053-168060","source":"Crossref","is-referenced-by-count":38,"title":["In-Vitro Classification of Saliva Samples of COPD Patients and Healthy Controls Using Machine Learning Tools"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9245-9227","authenticated-orcid":false,"given":"Pouya Soltani","family":"Zarrin","sequence":"first","affiliation":[{"name":"Leibniz-Institut für Innovative Mikroelektronik (IHP), Frankfurt, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0306-9970","authenticated-orcid":false,"given":"Niels","family":"Roeckendorf","sequence":"additional","affiliation":[{"name":"Division of Mucosal Immunology and Diagnostics, Priority Area Asthma and Allergy, Research Center Borstel\u2013Leibniz Lung Center, Leibniz Research Alliance Health Technologies, Borstel, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3698-2635","authenticated-orcid":false,"given":"Christian","family":"Wenger","sequence":"additional","affiliation":[{"name":"Leibniz-Institut für Innovative Mikroelektronik (IHP), Frankfurt, Germany"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2019.2900867"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-019-0270-x"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-45385-5_34"},{"key":"ref30","first-page":"67","article-title":"Sensitivity, specificity, accuracy, associated confidence interval and ROC analysis with practical SAS implementations","volume":"19","author":"zhu","year":"2010","journal-title":"NESUG proceedings health care and life sciences"},{"key":"ref35","article-title":"Implementation of Siamese-based few-shot learning algorithms for the distinction of COPD and asthma subjects","author":"zarrin","year":"2020","journal-title":"Proc ICANN"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/aelm.201600090"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1111\/j.1745-7254.2007.00608.x"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1152\/japplphysiol.00362.2005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a009597"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/bios8030078"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare7010011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics7030039"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2775180"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-017-0012-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2018.2805327"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989114"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.trsl.2013.04.003"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1039\/C9AN01704F"},{"key":"ref27","article-title":"Exasens: A novel dataset for the classification of saliva samples of COPD patients","author":"zarrin","year":"2020","journal-title":"Proc IEEE Dataport"},{"key":"ref3","first-page":"277","article-title":"New developments in the assessment of COPD: Early diagnosis is key","volume":"9","author":"csikesz","year":"2014","journal-title":"International Journal of Chronic Obstructive Pulmonary Disease"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4104\/pcrj.2009.00055"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3109\/15412555.2015.1077506"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.mayocp.2018.05.026"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2007.04.011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2015-008133"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.0030442"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1152\/physrev.00010.2005"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1378\/chest.117.2_suppl.10S"},{"key":"ref20","author":"campion","year":"2017","journal-title":"Machine Intelligence for Healthcare"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(01)00077-X"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref24","first-page":"94","article-title":"Comparison of classification methods based on the type of attributes and sample size","volume":"4","author":"entezari-maleki","year":"2009","journal-title":"J Converg Inf Technol"},{"key":"ref23","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1373\/clinchem.2014.228783"},{"key":"ref25","first-page":"284","article-title":"Pattern recognition for COPD diagnostics using an artificial neural network and its potential integration on hardware-based neuromorphic platforms","author":"zarrin","year":"2019","journal-title":"Proc ICANN"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09195859.pdf?arnumber=9195859","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T21:26:16Z","timestamp":1705353976000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9195859\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3023971","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}