{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:06:11Z","timestamp":1743123971017,"version":"3.40.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030148010"},{"type":"electronic","value":"9783030148027"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-14802-7_31","type":"book-chapter","created":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T23:07:34Z","timestamp":1554160054000},"page":"361-372","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PCA Kernel Based Extreme Learning Machine Model for Detection of NS1 from Salivary SERS Spectra"],"prefix":"10.1007","author":[{"given":"Nur Hainani","family":"Othman","sequence":"first","affiliation":[]},{"given":"Khuan Y.","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Afaf Rozan","family":"Mohd Radzol","sequence":"additional","affiliation":[]},{"given":"Wahidah","family":"Mansor","sequence":"additional","affiliation":[]},{"given":"N. A. Z. M.","family":"Zulkimi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"issue":"3","key":"31_CR1","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1201\/9780203752463","volume":"11","author":"DJ Gubler","year":"1998","unstructured":"Gubler, D.J.: Dengue and dengue hemorrhagic fever. Clin. Microbiol. Rev. 11(3), 480\u2013496 (1998). https:\/\/doi.org\/10.1201\/9780203752463","journal-title":"Clin. Microbiol. Rev."},{"key":"31_CR2","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.trac.2015.01.005","volume":"67","author":"NT Darwish","year":"2015","unstructured":"Darwish, N.T., Alias, Y.B., Khor, S.M.: An introduction to dengue-disease diagnostics. TrAC Trends Anal. Chem. 67, 45\u201355 (2015). https:\/\/doi.org\/10.1016\/j.trac.2015.01.005","journal-title":"TrAC Trends Anal. Chem."},{"key":"31_CR3","unstructured":"Laman Utama iDengue. http:\/\/idengue.remotesensing.gov.my\/idengue. Accessed 21 May 2018"},{"key":"31_CR4","doi-asserted-by":"publisher","unstructured":"Radzol, A.R.M., Lee, K.Y., Mansor, W., Ariffin, N.: Biostatistical analysis of principle component of salivary Raman spectra for NS1 infection. In: 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences, pp. 13\u201318. IEEE, Kuala Lumpur (2016). https:\/\/doi.org\/10.1109\/iecbes.2016.7843406","DOI":"10.1109\/iecbes.2016.7843406"},{"issue":"4","key":"31_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.7860\/JCDR\/2016\/15758.7562","volume":"10","author":"AM Anand","year":"2016","unstructured":"Anand, A.M., Sistla, S., Dhodapkar, R., Hamide, A., Biswal, N., Srinivasan, B.: Evaluation of NS1 antigen detection for early diagnosis of dengue in a tertiary hospital in Southern India. J. Clin. Diagn. Res. 10(4), 1\u20134 (2016). https:\/\/doi.org\/10.7860\/JCDR\/2016\/15758.7562","journal-title":"J. Clin. Diagn. Res."},{"key":"31_CR6","doi-asserted-by":"publisher","unstructured":"Yusoff, N.A., Soin, N., Ibrahim, F.: Lab-on-a-disk as a potential microfluidic platform for dengue NS1-ELISA. In: 2009 IEEE Symposium on Industrial Electronics & Applications, pp. 946\u2013950. IEEE, Kuala Lumpur (2009). https:\/\/doi.org\/10.1109\/isiea.2009.5356330","DOI":"10.1109\/isiea.2009.5356330"},{"key":"31_CR7","doi-asserted-by":"publisher","unstructured":"Yusoff, N., Soin, N., Rahman, N., Raja Abd Rahman, R.N., Abd Kahar, M.A., Ibrahim, F.: Binding characteristics study for dengue virus non-structural protein 1 of Antigen and its antibody by using circular dichroism technique. In: 2009 International Conference for Technical Postgraduates (TECHPOS), pp. 1\u20136. IEEE, Kuala Lumpur (2009). https:\/\/doi.org\/10.1109\/techpos.2009.5412060","DOI":"10.1109\/techpos.2009.5412060"},{"issue":"2","key":"31_CR8","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.jviromet.2008.10.016","volume":"155","author":"S Zainah","year":"2009","unstructured":"Zainah, S., et al.: Performance of a commercial rapid dengue NS1 antigen immunochromatography test with reference to dengue NS1 antigen-capture ELISA. J. Virol. Methods 155(2), 157\u2013160 (2009). https:\/\/doi.org\/10.1016\/j.jviromet.2008.10.016","journal-title":"J. Virol. Methods"},{"issue":"1","key":"31_CR9","doi-asserted-by":"publisher","first-page":"165","DOI":"10.4269\/ajtmh.2012.11-0713","volume":"87","author":"KL Anders","year":"2012","unstructured":"Anders, K.L., et al.: An evaluation of dried blood spots and oral swabs as alternative specimens for the diagnosis of dengue and screening for past dengue virus exposure. Am. J. Trop. Med. Hyg. 87(1), 165\u2013170 (2012). https:\/\/doi.org\/10.4269\/ajtmh.2012.11-0713","journal-title":"Am. J. Trop. Med. Hyg."},{"key":"31_CR10","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/0009-2614(74)85388-1","volume":"26","author":"M Fleischmann","year":"1974","unstructured":"Fleischmann, M., Hendra, P.J., McQuillan, A.J.: Raman spectra of pyridine adsorbed at a silver electrode. Chem. Phys. Lett. 26, 163\u2013166 (1974). https:\/\/doi.org\/10.1016\/0009-2614(74)85388-1","journal-title":"Chem. Phys. Lett."},{"key":"31_CR11","doi-asserted-by":"publisher","unstructured":"Hadjigeorgiou, K., Kastanos, E., Pitris, C.: Surface enhanced Raman spectroscopy as a tool for rapid and inexpensive diagnosis and antibiotic susceptibility testing for urinary tract infections. In: 2016 IEEE Healthcare Innovation Point-Of-Care Technologies Conference (HI-POCT), pp. 158\u2013161. IEEE, Cancun (2016). https:\/\/doi.org\/10.1109\/hic.2016.7797721","DOI":"10.1109\/hic.2016.7797721"},{"key":"31_CR12","doi-asserted-by":"publisher","unstructured":"Yan, W., et al.: Preliminary study on the quick detection of acquired immure deficiency syndrome by saliva analysis using surface enhanced Raman spectroscopic technique. In: 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 885\u2013887. IEEE, Minneapolis (2009). https:\/\/doi.org\/10.1109\/iembs.2009.5333131","DOI":"10.1109\/iembs.2009.5333131"},{"key":"31_CR13","doi-asserted-by":"publisher","unstructured":"Wang, Y., et al.: A feasibility study of early detection of lung cancer by saliva test using surface enhanced Raman scattering. In: 5th International Conference on BioMedical Engineering and Informatics, pp. 135\u2013139. IEEE, Chongqing (2012). https:\/\/doi.org\/10.1109\/bmei.2012.6513160","DOI":"10.1109\/bmei.2012.6513160"},{"key":"31_CR14","doi-asserted-by":"publisher","unstructured":"Huang, C.Y., et al.: Hybrid SVM\/CART classification of pathogenic species of bacterial meningitis with surface-enhanced Raman scattering. In: 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 406\u2013409. IEEE, Hong Kong (2010). https:\/\/doi.org\/10.1109\/bibm.2010.5706600","DOI":"10.1109\/bibm.2010.5706600"},{"key":"31_CR15","doi-asserted-by":"publisher","unstructured":"Santiago-Cordoba, M.A., Romano, P.R., Mackay, A., Demirel, M.C.: Raman based hepatocellular carcinoma biomarker detection. In: 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 3672\u20133675. IEEE, Boston (2011). https:\/\/doi.org\/10.1109\/iembs.2011.6090620","DOI":"10.1109\/iembs.2011.6090620"},{"key":"31_CR16","series-title":"Springer Series of Statistic","doi-asserted-by":"publisher","DOI":"10.2307\/1270093","volume-title":"Principal Component Analysis","author":"IT Joliffer","year":"2002","unstructured":"Joliffer, I.T.: Principal Component Analysis. Springer Series of Statistic, 2nd edn. Springer, Heidelberg (2002). https:\/\/doi.org\/10.2307\/1270093","edition":"2"},{"key":"31_CR17","doi-asserted-by":"publisher","unstructured":"Salma, M.U.: BAT-ELM: a bio inspired model for prediction of breast cancer data. In: 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT), pp. 501\u2013506. IEEE, Davangere (2015). https:\/\/doi.org\/10.1109\/icatcct.2015.7456936","DOI":"10.1109\/icatcct.2015.7456936"},{"key":"31_CR18","doi-asserted-by":"publisher","unstructured":"Ismaeel, S., Miri, A., Chourishi, D.: Using the extreme learning machine (ELM) technique for heart disease diagnosis. In: 2015 IEEE Canada International Humanitarian Technology Conference (IHTC2015), pp. 1\u20133. IEEE, Ottawa (2015). https:\/\/doi.org\/10.1109\/ihtc.2015.7238043","DOI":"10.1109\/ihtc.2015.7238043"},{"key":"31_CR19","doi-asserted-by":"publisher","unstructured":"Shahsavari, M.K., Rashidi, H., Bakhsh, H.R.: Efficient classification of Parkinsons disease using extreme learning machine and hybrid particle swarm optimization. In: 2016 4th International Conference on Control, Instrumentation, and Automation (ICCIA), pp. 148\u2013154. IEEE, Qazvin (2016). https:\/\/doi.org\/10.1109\/icciautom.2016.7483152","DOI":"10.1109\/icciautom.2016.7483152"},{"key":"31_CR20","doi-asserted-by":"publisher","unstructured":"Lu, S., Wang, H., Wu, X., Wang, S.: Pathological brain detection based on online sequential extreme learning machine. In: 2016 International Conference on Progress in Informatics and Computing (PIC), pp. 219\u2013223. IEEE, Shanghai (2016). https:\/\/doi.org\/10.1109\/pic.2016.7949498","DOI":"10.1109\/pic.2016.7949498"},{"key":"31_CR21","doi-asserted-by":"publisher","unstructured":"Kumar, S.J.J., Ravichandran, C.G.: Macular Edema severity detection in colour fundus images based on ELM classifier. In: 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp. 926\u2013933. IEEE, Palladam (2017). https:\/\/doi.org\/10.1109\/i-smac.2017.8058316","DOI":"10.1109\/i-smac.2017.8058316"},{"key":"31_CR22","doi-asserted-by":"publisher","unstructured":"Mishra, V.K., Bajaj, V., Kumar, A.: Classification of normal, ALS, and myopathy EMG signals using ELM classifier. In: 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), pp. 455\u2013459. IEEE, Chennai (2016). https:\/\/doi.org\/10.1109\/aeeicb.2016.7538330","DOI":"10.1109\/aeeicb.2016.7538330"},{"issue":"1","key":"31_CR23","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1177\/001316446002000116","volume":"20","author":"HF Kaiser","year":"1960","unstructured":"Kaiser, H.F.: The application of electronic computers to factor analysis. Educ. Psychol. Meas. 20(1), 141\u2013151 (1960). https:\/\/doi.org\/10.1177\/001316446002000116","journal-title":"Educ. Psychol. Meas."},{"issue":"2","key":"31_CR24","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1207\/s15327906mbr0102","volume":"1","author":"RB Cattell","year":"1966","unstructured":"Cattell, R.B.: The scree test for the number of factors. Multivariate Behav. Res. 1(2), 245\u2013276 (1966). https:\/\/doi.org\/10.1207\/s15327906mbr0102","journal-title":"Multivariate Behav. Res."},{"key":"31_CR25","doi-asserted-by":"publisher","unstructured":"Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme learning machine: a new learning scheme of feed forward neural networks. In: Proceedings of International Joint Conference on Neural Networks (IJCNN2004), pp. 985\u2013990. IEEE, Budapest (2004). https:\/\/doi.org\/10.1109\/ijcnn.2004.1380068","DOI":"10.1109\/ijcnn.2004.1380068"},{"issue":"3\u20134","key":"31_CR26","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1007\/s00521-013-1522-8","volume":"25","author":"S Ding","year":"2014","unstructured":"Ding, S., Xu, X., Nie, R.: Extreme learning machine and its applications. Neural Comput. Appl. 25(3\u20134), 549\u2013556 (2014). https:\/\/doi.org\/10.1007\/s00521-013-1522-8","journal-title":"Neural Comput. Appl."},{"key":"31_CR27","doi-asserted-by":"publisher","unstructured":"Radzol, A.R.M., Lee, K.Y., Mansor, W.: Nonstructural protein 1 characteristic peak from NS1-saliva mixture with surface-enhanced Raman spectroscopy. In: 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 2396\u20132399. IEEE, Osaka (2013). https:\/\/doi.org\/10.1109\/embc.2013.6610021","DOI":"10.1109\/embc.2013.6610021"},{"key":"31_CR28","doi-asserted-by":"publisher","unstructured":"Radzol, A.R.M., Lee, K.Y., Mansor, W., Othman, N.H.: Principal component analysis for detection of NS1 molecules from Raman spectra of saliva. In: 11th International Colloquium on Signal Processing & Its Applications (CSPA), pp. 168\u2013173. IEEE, Kuala Lumpur (2015). https:\/\/doi.org\/10.1109\/cspa.2015.7225640","DOI":"10.1109\/cspa.2015.7225640"},{"key":"31_CR29","unstructured":"Extreme Learning Machines. http:\/\/www.ntu.edu.sg\/home\/egbhuang\/elm_kernel.html"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-14802-7_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T12:55:08Z","timestamp":1710334508000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-14802-7_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030148010","9783030148027"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-14802-7_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"7 March 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Yogyakarta","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 April 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2019\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}