{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,15]],"date-time":"2025-10-15T10:28:17Z","timestamp":1760524097006,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030623616"},{"type":"electronic","value":"9783030623623"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62362-3_14","type":"book-chapter","created":{"date-parts":[[2020,10,29]],"date-time":"2020-10-29T06:02:51Z","timestamp":1603951371000},"page":"148-159","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["An Analysis of Protein Patterns Present in the Saliva of Diabetic Patients Using Pairwise Relationship and Hierarchical Clustering"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2151-5444","authenticated-orcid":false,"given":"Airton","family":"Soares","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5458-4978","authenticated-orcid":false,"given":"Eduardo","family":"Esteves","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4604-0780","authenticated-orcid":false,"given":"Nuno","family":"Rosa","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2239-2976","authenticated-orcid":false,"given":"Ana Cristina","family":"Esteves","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7153-841X","authenticated-orcid":false,"given":"Anthony","family":"Lins","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0924-5341","authenticated-orcid":false,"given":"Carmelo J. A.","family":"Bastos-Filho","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,27]]},"reference":[{"issue":"7","key":"14_CR1","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1016\/j.archoralbio.2012.12.012","volume":"58","author":"JP Arrais","year":"2013","unstructured":"Arrais, J.P., et al.: Oralcard: a bioinformatic tool for the study of oral proteome. Arch. Oral Biol. 58(7), 762\u2013772 (2013)","journal-title":"Arch. Oral Biol."},{"issue":"2","key":"14_CR2","doi-asserted-by":"crossref","first-page":"94","DOI":"10.14639\/0392-100X-1598","volume":"37","author":"M Castagnola","year":"2017","unstructured":"Castagnola, M., et al.: Salivary biomarkers and proteomics: future diagnostic and clinical utilities. Acta Otorhinolaryngol. Ital. 37(2), 94 (2017)","journal-title":"Acta Otorhinolaryngol. Ital."},{"issue":"1","key":"14_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1186\/1477-3155-8-5","volume":"8","author":"J Conde","year":"2010","unstructured":"Conde, J., de la Fuente, J.M., Baptista, P.V.: RNA quantification using gold nanoprobes-application to cancer diagnostics. J. Nanobiotechnol. 8(1), 5 (2010)","journal-title":"J. Nanobiotechnol."},{"key":"14_CR4","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.jprot.2017.08.011","volume":"171","author":"I Cruz","year":"2018","unstructured":"Cruz, I., et al.: SalivaPRINT toolkit-protein profile evaluation and phenotype stratification. J. Proteomics 171, 81\u201386 (2018)","journal-title":"J. Proteomics"},{"key":"14_CR5","unstructured":"David, H.A.: The Method of Paired Comparisons, vol. 12, London (1963)"},{"issue":"10","key":"14_CR6","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1145\/2347736.2347755","volume":"55","author":"P Domingos","year":"2012","unstructured":"Domingos, P.: A few useful things to know about machine learning. Commun. ACM 55(10), 78\u201387 (2012)","journal-title":"Commun. ACM"},{"key":"14_CR7","doi-asserted-by":"publisher","unstructured":"Esteves., E., Cruz., I., Esteves., A.C., Barros., M., Rosa., N.: SalivaPRINT as a non-invasive diagnostic tool. In: Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies, HEALTHINF, vol. 5, pp. 677\u2013682. INSTICC. SciTePress (2020). https:\/\/doi.org\/10.5220\/0009163506770682","DOI":"10.5220\/0009163506770682"},{"key":"14_CR8","doi-asserted-by":"crossref","unstructured":"Ferreira, A.V., Bastos Filho, C.J., Lins, A.J.: An unsupervised analysis of an Alzheimer\u2019s disease patient population using subspace search and hierarchical density-based clustering. In: 2019 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp. 1\u20136. IEEE (2019)","DOI":"10.1109\/LA-CCI47412.2019.9037028"},{"issue":"7","key":"14_CR9","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1016\/S0031-3203(96)00140-9","volume":"30","author":"H Frigui","year":"1997","unstructured":"Frigui, H., Krishnapuram, R.: Clustering by competitive agglomeration. Pattern Recogn. 30(7), 1109\u20131119 (1997)","journal-title":"Pattern Recogn."},{"issue":"5","key":"14_CR10","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1177\/1535370216681550","volume":"242","author":"KE Kaczor-Urbanowicz","year":"2017","unstructured":"Kaczor-Urbanowicz, K.E., Martin Carreras-Presas, C., Aro, K., Tu, M., Garcia-Godoy, F., Wong, D.T.: Saliva diagnostics-current views and directions. Exp. Biol. Med. 242(5), 459\u2013472 (2017)","journal-title":"Exp. Biol. Med."},{"key":"14_CR11","doi-asserted-by":"crossref","unstructured":"Kaushik, A., Mujawar, M.A.: Point of care sensing devices: better care for everyone (2018)","DOI":"10.3390\/s18124303"},{"key":"14_CR12","doi-asserted-by":"crossref","unstructured":"Lins, A., Muniz, M., Bastos-Filho, C.J.: Comparing machine learning techniques for dementia diagnosis. In: 2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI), pp. 1\u20136. IEEE (2018)","DOI":"10.1109\/LA-CCI.2018.8625209"},{"key":"14_CR13","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.cmpb.2017.09.013","volume":"152","author":"A Lins","year":"2017","unstructured":"Lins, A., Muniz, M., Garcia, A., Gomes, A., Cabral, R., Bastos-Filho, C.J.: Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals. Comput. Methods Programs Biomed. 152, 93\u2013104 (2017)","journal-title":"Comput. Methods Programs Biomed."},{"issue":"10","key":"14_CR14","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1177\/0022034510380414","volume":"89","author":"J Loo","year":"2010","unstructured":"Loo, J., Yan, W., Ramachandran, P., Wong, D.: Comparative human salivary and plasma proteomes. J. Dent. Res. 89(10), 1016\u20131023 (2010)","journal-title":"J. Dent. Res."},{"issue":"7","key":"14_CR15","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1016\/j.archoralbio.2011.12.010","volume":"57","author":"N Rosa","year":"2012","unstructured":"Rosa, N., et al.: From the salivary proteome to the oralome: comprehensive molecular oral biology. Arch. Oral Biol. 57(7), 853\u2013864 (2012)","journal-title":"Arch. Oral Biol."},{"key":"14_CR16","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20, 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."},{"issue":"4","key":"14_CR17","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1002\/prca.201500116","volume":"10","author":"B Sabbagh","year":"2016","unstructured":"Sabbagh, B., Mindt, S., Neumaier, M., Findeisen, P.: Clinical applications of MS-based protein quantification. PROTEOMICS-Clin. Appl. 10(4), 323\u2013345 (2016)","journal-title":"PROTEOMICS-Clin. Appl."},{"issue":"1","key":"14_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12911-019-1004-8","volume":"19","author":"S Uddin","year":"2019","unstructured":"Uddin, S., Khan, A., Hossain, M.E., Moni, M.A.: Comparing different supervised machine learning algorithms for disease prediction. BMC Med. Inform. Decis. Mak. 19(1), 1\u201316 (2019). https:\/\/doi.org\/10.1186\/s12911-019-1004-8","journal-title":"BMC Med. Inform. Decis. Mak."},{"issue":"1","key":"14_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s12032-016-0863-4","volume":"34","author":"X Wang","year":"2016","unstructured":"Wang, X., Kaczor-Urbanowicz, K.E., Wong, D.T.W.: Salivary biomarkers in cancer detection. Med. Oncol. 34(1), 1\u20138 (2016). https:\/\/doi.org\/10.1007\/s12032-016-0863-4","journal-title":"Med. Oncol."},{"issue":"301","key":"14_CR20","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1080\/01621459.1963.10500845","volume":"58","author":"JH Ward Jr","year":"1963","unstructured":"Ward Jr., J.H.: Hierarchical grouping to optimize an objective function. J. Am. Stat. Assoc. 58(301), 236\u2013244 (1963)","journal-title":"J. Am. Stat. Assoc."}],"container-title":["Lecture Notes in Computer Science","Intelligent Data Engineering and Automated Learning \u2013 IDEAL 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62362-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:57:45Z","timestamp":1710269865000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62362-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030623616","9783030623623"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62362-3_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"27 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IDEAL","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Data Engineering and Automated Learning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Guimaraes","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ideal2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/islab.di.uminho.pt\/ideal2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"134","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"93","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"69% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.8","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}