{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:15:24Z","timestamp":1740122124405,"version":"3.37.3"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T00:00:00Z","timestamp":1504051200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004586","name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004586","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s10916-017-0802-8","type":"journal-article","created":{"date-parts":[[2017,8,30]],"date-time":"2017-08-30T04:42:24Z","timestamp":1504068144000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Ensemble Classifiers for Predicting HIV-1 Resistance from Three Rule-Based Genotypic Resistance Interpretation Systems"],"prefix":"10.1007","volume":"41","author":[{"given":"Let\u00edcia M.","family":"Raposo","sequence":"first","affiliation":[]},{"given":"Flavio F.","family":"Nobre","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,30]]},"reference":[{"key":"802_CR1","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/j.antiviral.2009.09.015","volume":"85","author":"R Paredes","year":"2010","unstructured":"Paredes, R., and Clotet, B., Clinical management of HIV-1 resistance. Antivir. Res. 85:245\u2013265, 2010. https:\/\/doi.org\/10.1016\/j.antiviral.2009.09.015 .","journal-title":"Antivir. Res."},{"key":"802_CR2","doi-asserted-by":"publisher","unstructured":"Bronze, M., Steegen, K., Wallis, C.L., de Wolf, H., Papathanasopoulos, M.A., van Houtte, M., Stevens, W.S., de Wit, T.R., and Stuyver, L.J., Hiv-1 phenotypic reverse transcriptase inhibitor drug resistance test interpretation is not dependent on the subtype of the virus backbone. PLoS One, 2012. https:\/\/doi.org\/10.1371\/journal.pone.0034708 .","DOI":"10.1371\/journal.pone.0034708"},{"key":"802_CR3","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1093\/jac\/42.2.269","volume":"42","author":"K Hertogs","year":"1998","unstructured":"Hertogs, K., de B\u00e9thune, M.P., Miller, V., Ivens, T., Schel, P., Van Cauwenberge, A., Van Den Eynde, C., Van Gerwen, V., Azijn, H., Van Houtte, M., Peeters, F., Staszewski, S., Conant, M., Bloor, S., Kemp, S., Larder, B., and Pauwels, R., A rapid method for simultaneous detection of phenotypic resistance to inhibitors of protease and reverse transcriptase in recombinant human immunodeficiency virus type 1 isolates from patients treated with antiretroviral drugs. Antimicrob. Agents Chemother. 42:269\u2013276, 1998.","journal-title":"Antimicrob. Agents Chemother."},{"key":"802_CR4","doi-asserted-by":"publisher","first-page":"8271","DOI":"10.1073\/pnas.112177799","volume":"99","author":"N Beerenwinkel","year":"2002","unstructured":"Beerenwinkel, N., Schmidt, B., Walter, H., Kaiser, R., Lengauer, T., Hoffmann, D., Korn, K., and Selbig, J., Diversity and complexity of HIV-1 drug resistance: A bioinformatics approach to predicting phenotype from genotype. Proc. Natl. Acad. Sci. U. S. A. 99:8271\u20138276, 2002. https:\/\/doi.org\/10.1073\/pnas.112177799 .","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"802_CR5","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.antiviral.2006.05.003","volume":"71","author":"J Vercauteren","year":"2006","unstructured":"Vercauteren, J., and Vandamme, A.M., Algorithms for the interpretation of HIV-1 genotypic drug resistance information. Antivir. Res. 71:335\u2013342, 2006. https:\/\/doi.org\/10.1016\/j.antiviral.2006.05.003 .","journal-title":"Antivir. Res."},{"key":"802_CR6","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1097\/00126334-200305010-00002","volume":"33","author":"J Ravela","year":"2003","unstructured":"Ravela, J., Betts, B.J., Brun-V\u00e9zinet, F., Vandamme, A.-M., Descamps, D., van Laethem, K., Smith, K., Schapiro, J.M., Winslow, D.L., Reid, C., and Shafer, R.W., HIV-1 protease and reverse transcriptase mutation patterns responsible for discordances between genotypic drug resistance interpretation algorithms. J. Acquir. Immune Defic. Syndr. 33:8\u201314, 2003.","journal-title":"J. Acquir. Immune Defic. Syndr."},{"key":"802_CR7","doi-asserted-by":"publisher","first-page":"1934","DOI":"10.1086\/375355","volume":"183","author":"A Luca De","year":"2003","unstructured":"De Luca, A., Cingolani, A., Di Giambenedetto, S., Trotta, M.P., Baldini, F., Rizzo, M.G., Bertoli, A., Liuzzi, G., Narciso, P., Murri, R., Ammassari, A., Perno, C.F., and Antinori, A., Variable prediction of antiretroviral treatment outcome by different systems for interpreting genotypic human immunodeficiency virus type 1 drug resistance. J. Infect. Dis. 183:1934\u20131943, 2003. https:\/\/doi.org\/10.1086\/375355 .","journal-title":"J. Infect. Dis."},{"key":"802_CR8","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/j.antiviral.2009.11.010","volume":"85","author":"G Yebra","year":"2010","unstructured":"Yebra, G., de Mulder, M., del Romero, J., Rodr\u00edguez, C., and Holgu\u00edn, A., HIV-1 non-B subtypes: High transmitted NNRTI-resistance in Spain and impaired genotypic resistance interpretation due to variability. Antivir. Res. 85:409\u2013417, 2010. https:\/\/doi.org\/10.1016\/j.antiviral.2009.11.010 .","journal-title":"Antivir. Res."},{"key":"802_CR9","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1093\/jac\/dkh021","volume":"53","author":"M Zazzi","year":"2004","unstructured":"Zazzi, M., Romano, L., Venturi, G., Shafer, R.W., Reid, C., Dal Bello, F., Parolin, C., Pal\u00f9, G., and Valensin, P.E., Comparative evaluation of three computerized algorithms for prediction of antiretroviral susceptibility from HIV type 1 genotype. J. Antimicrob. Chemother. 53:356\u2013360, 2004. https:\/\/doi.org\/10.1093\/jac\/dkh021 .","journal-title":"J. Antimicrob. Chemother."},{"key":"802_CR10","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1097\/00002030-200203290-00008","volume":"16","author":"J-L Meynard","year":"2002","unstructured":"Meynard, J.-L., Vray, M., Morand-Joubert, L., Race, E., Descamps, D., Peytavin, G., Matheron, S., Lamotte, C., Guiramand, S., Costagliola, D., Brun-V\u00e9zinet, F., Clavel, F., and Girard, P.-M., Phenotypic or genotypic resistance testing for choosing antiretroviral therapy after treatment failure: A randomized trial. AIDS. 16:727\u2013736, 2002.","journal-title":"AIDS"},{"key":"802_CR11","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1177\/135965350200700206","volume":"7","author":"K Laethem Van","year":"2002","unstructured":"Van Laethem, K., De Luca, A., Antinori, A., Cingolani, A., Perno, C.F., and Vandamme, A.M., A genotypic drug resistance interpretation algorithm that significantly predicts therapy response in HIV-1-infected patients. Antivir. Ther. 7:123\u2013129, 2002.","journal-title":"Antivir. Ther."},{"key":"802_CR12","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1128\/CMR.15.2.247","volume":"15","author":"RW Shafer","year":"2002","unstructured":"Shafer, R.W., Genotypic testing for human immunodeficiency virus type 1 drug resistance. Society. 15:247\u2013277, 2002. https:\/\/doi.org\/10.1128\/CMR.15.2.247 .","journal-title":"Society"},{"key":"802_CR13","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1016\/S1995-7645(12)60100-X","volume":"5","author":"S Yashik","year":"2012","unstructured":"Yashik, S., and Maurice, M., Predicting a single HIV drug resistance measure from three international interpretation gold standards. Asian Pac. J. Trop. Med. 5:566\u2013572, 2012. https:\/\/doi.org\/10.1016\/S1995-7645(12)60100-X .","journal-title":"Asian Pac. J. Trop. Med."},{"key":"802_CR14","doi-asserted-by":"publisher","first-page":"661","DOI":"10.3851\/IMP2947","volume":"20","author":"S Wagner","year":"2015","unstructured":"Wagner, S., Kurz, M., and Klimkait, T., Algorithm evolution for drug resistance prediction: Comparison of systems for HIV-1 genotyping. Antivir. Ther. 20:661\u2013665, 2015. https:\/\/doi.org\/10.3851\/IMP2947 .","journal-title":"Antivir. Ther."},{"key":"802_CR15","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/s10916-014-0087-0","volume":"38","author":"P Cunha","year":"2014","unstructured":"Cunha, P., Moura, D.C., Guevara L\u00f3pez, M.A., Guerra, C., Pinto, D., and Ramos, I., Impact of ensemble learning in the assessment of skeletal maturity. J. Med. Syst. 38:87, 2014. https:\/\/doi.org\/10.1007\/s10916-014-0087-0 .","journal-title":"J. Med. Syst."},{"key":"802_CR16","unstructured":"Whalen, S., Pandey, G., A comparative analysis of ensemble classifiers: Case studies in genomics. In: 2013 I.E. 13th Int. Conf. Data Min. IEEE, pp 807\u2013816, 2013."},{"key":"802_CR17","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1186\/1756-0381-7-14","volume":"7","author":"D Heider","year":"2014","unstructured":"Heider, D., Dybowski, J.N., Wilms, C., and Hoffmann, D., A simple structure-based model for the prediction of HIV-1 co-receptor tropism. BioData Min. 7:14, 2014. https:\/\/doi.org\/10.1186\/1756-0381-7-14 .","journal-title":"BioData Min"},{"key":"802_CR18","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1186\/1756-0381-4-26","volume":"4","author":"JN Dybowski","year":"2011","unstructured":"Dybowski, J.N., Riemenschneider, M., Hauke, S., Pyka, M., Verheyen, J., Hoffmann, D., and Heider, D., Improved Bevirimat resistance prediction by combination of structural and sequence-based classifiers. BioData Min. 4:26, 2011. https:\/\/doi.org\/10.1186\/1756-0381-4-26 .","journal-title":"BioData Min"},{"key":"802_CR19","doi-asserted-by":"publisher","unstructured":"Kilic, N., Hosgormez, E., Automatic Estimation of Osteoporotic Fracture Cases by Using Ensemble Learning Approaches. 40:61, 2016. doi: https:\/\/doi.org\/10.1007\/s10916-015-0413-1","DOI":"10.1007\/s10916-015-0413-1"},{"key":"802_CR20","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1093\/nar\/gkg100","volume":"31","author":"S-Y Rhee","year":"2003","unstructured":"Rhee, S.-Y., Gonzales, M.J., Kantor, R., Betts, B.J., Ravela, J., and Shafer, R.W., Human immunodeficiency virus reverse transcriptase and protease sequence database. Nucleic Acids Res. 31:298\u2013303, 2003. https:\/\/doi.org\/10.1093\/nar\/gkg100 .","journal-title":"Nucleic Acids Res."},{"key":"802_CR21","unstructured":"Monogram Biosciences., Phenosense HIV Drug Resistance Assay. 1\u20132, 2014."},{"key":"802_CR22","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.1109\/TKDE.2008.239","volume":"21","author":"H He","year":"2009","unstructured":"He, H., and Garcia, E.A., Learning from imbalanced data. IEEE Trans. Knowl. Data Eng. 21:1263\u20131284, 2009. https:\/\/doi.org\/10.1109\/TKDE.2008.239 .","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"802_CR23","doi-asserted-by":"crossref","unstructured":"Lunardon, N., Menardi, G., Maintainer, N. T., Package \u201cROSE.\u201d 6, 2015.","DOI":"10.32614\/RJ-2014-008"},{"key":"802_CR24","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1023\/B:MACH.0000015881.36452.6e","volume":"54","author":"S D\u017eeroski","year":"2004","unstructured":"D\u017eeroski, S., and \u017denko, B., Is combining classifiers with stacking better than selecting the best one? Mach. Learn. 54:255\u2013273, 2004. https:\/\/doi.org\/10.1023\/B:MACH.0000015881.36452.6e .","journal-title":"Mach. Learn."},{"key":"802_CR25","doi-asserted-by":"publisher","unstructured":"Rokach, L., Ensemble methods for classifiers. Data Min. Knowl. Discov. Handb.:957\u2013980, 2005. https:\/\/doi.org\/10.1007\/0-387-25465-X_45 .","DOI":"10.1007\/0-387-25465-X_45"},{"key":"802_CR26","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0893-6080(05)80023-1","volume":"5","author":"DH Wolpert","year":"1992","unstructured":"Wolpert, D.H., Stacked generalization. Neural Netw. 5:241\u2013259, 1992. https:\/\/doi.org\/10.1016\/S0893-6080(05)80023-1 .","journal-title":"Neural Netw."},{"key":"802_CR27","first-page":"1751","volume":"6","author":"SD Gr","year":"2005","unstructured":"Gr, S.D., Paliouras, G., Spyropoulos, C.D., Gr, C.D., and Gr, M.U., Combining information extraction systems using voting and stacked generalization Georgios Sigletos Georgios Paliouras. J. Mach. Learn. Res. 6:1751\u20131782, 2005.","journal-title":"J. Mach. Learn. Res."},{"key":"802_CR28","unstructured":"Ting, K. M., and Witten, I. H., Stacked generalization: When does it work? 866\u2013871, 1997."},{"key":"802_CR29","unstructured":"Leung, K. M., Naive bayesian classifier. Polytech. Univ. Dep. Comput. Sci. Risk Eng, 2007."},{"key":"802_CR30","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1016\/j.eswa.2004.12.023","volume":"28","author":"S Tan","year":"2005","unstructured":"Tan, S., Neighbor-weighted K-nearest neighbor for unbalanced text corpus. Expert Syst. Appl. 28:667\u2013671, 2005. https:\/\/doi.org\/10.1016\/j.eswa.2004.12.023 .","journal-title":"Expert Syst. Appl."},{"key":"802_CR31","doi-asserted-by":"crossref","unstructured":"Kuhn, M., Package \u201ccaret.\u201d 151,156, 2016.","DOI":"10.5771\/0175-274X-2016-2-151"},{"key":"802_CR32","unstructured":"Roever, C., Raabe, N., Luebke, K., Ligges, U., Szepannek, G., and Zentgraf, M., Package \u201cklaR.\u201d 33, 2015."},{"key":"802_CR33","unstructured":"Schliep, K., Hechenbichler, K., and Lizee, A., Package \u201ckknn.\u201d 2016 5."},{"key":"802_CR34","first-page":"1","volume":"7","author":"J Dem\u0161ar","year":"2006","unstructured":"Dem\u0161ar, J., Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 7:1\u201330, 2006.","journal-title":"J. Mach. Learn. Res."},{"key":"802_CR35","first-page":"65","volume":"6","author":"S Holm","year":"1979","unstructured":"Holm, S., A simple sequentially Rejective multiple test procedure. Scand. J. Stat. 6:65\u201370, 1979.","journal-title":"Scand. J. Stat."},{"key":"802_CR36","doi-asserted-by":"publisher","first-page":"3850","DOI":"10.1093\/nar\/gkg575","volume":"31","author":"N Beerenwinkel","year":"2003","unstructured":"Beerenwinkel, N., D Umer, M., Oette, M., Korn, K., Hoffmann, D., Kaiser, R., Lengauer, T., Selbig, J., and Walter, H., Geno2pheno: Estimating phenotypic drug resistance from HIV-1 genotypes. Nucleic Acids Res. 31:3850\u20133855, 2003. https:\/\/doi.org\/10.1093\/nar\/gkg575 .","journal-title":"Nucleic Acids Res."},{"key":"802_CR37","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1111\/j.1574-695X.2005.00011.x","volume":"46","author":"L Vergne","year":"2006","unstructured":"Vergne, L., Snoeck, J., Aghokeng, A., Maes, B., Valea, D., Delaporte, E., Vandamme, A.M., Peeters, M., and Van Laethem, K., Genotypic drug resistance interpretation algorithms display high levels of discordance when applied to non-B strains from HIV-1 naive and treated patients. FEMS Immunol. Med. Microbiol. 46:53\u201362, 2006. https:\/\/doi.org\/10.1111\/j.1574-695X.2005.00011.x .","journal-title":"FEMS Immunol. Med. Microbiol."},{"key":"802_CR38","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.jviromet.2008.03.017","volume":"151","author":"V Poonpiriya","year":"2008","unstructured":"Poonpiriya, V., Sungkanuparph, S., Leechanachai, P., Pasomsub, E., Watitpun, C., Chunhakan, S., and Chantratita, W., A study of seven rule-based algorithms for the interpretation of HIV-1 genotypic resistance data in Thailand. J. Virol. Methods. 151:79\u201386, 2008. https:\/\/doi.org\/10.1016\/j.jviromet.2008.03.017 .","journal-title":"J. Virol. Methods"},{"key":"802_CR39","unstructured":"Weiss, G. M., Provost, F., The effect of class distribution on classifier learning, 2001"},{"key":"802_CR40","unstructured":"Japkowicz, N., Learning from imbalanced data sets: A comparison of various strategies. In: Work. Notes AAAI\u201900 work. pp 10\u201315, 2000."},{"key":"802_CR41","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1111\/j.0824-7935.2004.t01-1-00228.x","volume":"20","author":"A Estabrooks","year":"2004","unstructured":"Estabrooks, A., Jo, T., and Japkowicz, N., A multiple resampling method for learning from imbalanced data sets. Comput. Intell. 20:18\u201336, 2004. https:\/\/doi.org\/10.1111\/j.0824-7935.2004.t01-1-00228.x .","journal-title":"Comput. Intell."},{"key":"802_CR42","doi-asserted-by":"publisher","first-page":"694","DOI":"10.1128\/AAC.50.2.694-701.2006","volume":"50","author":"J Snoeck","year":"2006","unstructured":"Snoeck, J., Kantor, R., Shafer, R.W., Van Laethem, K., Deforche, K., Carvalho, A.P., Wynhoven, B., Soares, M.A., Cane, P., Clarke, J., Pillay, C., Sirivichayakul, S., Ariyoshi, K., Holguin, A., Rudich, H., Rodrigues, R., Bouzas, M.B., Brun-V\u00e9zinet, F., Reid, C., Cahn, P., Brigido, L.F., Grossman, Z., Soriano, V., Sugiura, W., Phanuphak, P., Morris, L., Weber, J., Pillay, D., Tanuri, A., Harrigan, R.P., Camacho, R., Schapiro, J.M., Katzenstein, D., and Vandamme, A.M., Discordances between interpretation algorithms for genotypic resistance to protease and reverse transcriptase inhibitors of human immunodeficiency virus are subtype dependent. Antimicrob. Agents Chemother. 50:694\u2013701, 2006. https:\/\/doi.org\/10.1128\/AAC.50.2.694-701.2006 .","journal-title":"Antimicrob. Agents Chemother."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-017-0802-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-017-0802-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-017-0802-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T23:08:50Z","timestamp":1659395330000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-017-0802-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,30]]},"references-count":42,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["802"],"URL":"https:\/\/doi.org\/10.1007\/s10916-017-0802-8","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"type":"print","value":"0148-5598"},{"type":"electronic","value":"1573-689X"}],"subject":[],"published":{"date-parts":[[2017,8,30]]},"article-number":"155"}}