{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T17:09:22Z","timestamp":1791047362147,"version":"4.1.0"},"reference-count":47,"publisher":"Elsevier BV","issue":"6","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,5,24]],"date-time":"2023-05-24T00:00:00Z","timestamp":1684886400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["cell.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Heliyon"],"published-print":{"date-parts":[[2023,6]]},"DOI":"10.1016\/j.heliyon.2023.e16634","type":"journal-article","created":{"date-parts":[[2023,5,30]],"date-time":"2023-05-30T12:30:15Z","timestamp":1685449815000},"page":"e16634","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":16,"title":["A machine learning model to assess potential misdiagnosed dengue hospitalization"],"prefix":"10.1016","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6023-607X","authenticated-orcid":false,"given":"Claudia Yang","family":"Santos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3612-231X","authenticated-orcid":false,"given":"Suely","family":"Tuboi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ariane","family":"de Jesus Lopes de Abreu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Denise Alves","family":"Abud","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2969-6796","authenticated-orcid":false,"given":"Abner Augusto","family":"Lobao Neto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7874-3398","authenticated-orcid":false,"given":"Ramon","family":"Pereira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Joao Bosco","family":"Siqueira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.heliyon.2023.e16634_bib1","series-title":"Treatment, Prevention and Control Global Strategy for Dengue Prevention and Control","author":"World Health Organization","year":"2020"},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib2","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1179\/2046904712Z.00000000052","article-title":"The revised WHO dengue case classification: does the system need to be modified?","volume":"32","author":"Hadinegoro","year":"2012","journal-title":"Paediatr. Int. Child Health"},{"issue":"15","key":"10.1016\/j.heliyon.2023.e16634_bib3","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1056\/NEJMra1110265","article-title":"Dengue","volume":"366","author":"Simmons","year":"2012","journal-title":"N. Engl. J. Med."},{"key":"10.1016\/j.heliyon.2023.e16634_bib4","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1186\/s12889-019-6641-4","article-title":"30 years of fatal dengue cases in Brazil: a review","volume":"19","author":"Nunes","year":"2019","journal-title":"BMC Publ. Health"},{"key":"10.1016\/j.heliyon.2023.e16634_bib5","series-title":"Departamento de Vigil\u00e2ncia epidemiol\u00f3gica. Diretrizes Nacionais para a Preven\u00e7\u00e3o e Controle de Epidemias de Dengue; Plano de contig\u00eancia para respostas \u00e0s emerg\u00eancias em sa\u00fade p\u00fablica por dengue","author":"da Sa\u00fade","year":"2022"},{"issue":"8","key":"10.1016\/j.heliyon.2023.e16634_bib7","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1093\/cid\/ciy1083","article-title":"Concomitant transmission of dengue, chikungunya, and zika viruses in Brazil: clinical and epidemiological findings from surveillance for acute febrile illness","volume":"69","author":"Silva","year":"2019","journal-title":"Clin. Infect. Dis."},{"issue":"2","key":"10.1016\/j.heliyon.2023.e16634_bib8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0228347","article-title":"Interdependence between confirmed and discarded cases of dengue, chikungunya and Zika viruses in Brazil: a multivariate time-series analysis","volume":"15","author":"Oliveira","year":"2020","journal-title":"PLoS One"},{"issue":"4","key":"10.1016\/j.heliyon.2023.e16634_bib9","doi-asserted-by":"crossref","first-page":"e1614","DOI":"10.1371\/journal.pntd.0001614","article-title":"Dengue deaths in Puerto Rico: lessons learned from the 2007 epidemic","volume":"6","author":"Tomashek","year":"2012","journal-title":"PLoS Neglected Trop. Dis."},{"key":"10.1016\/j.heliyon.2023.e16634_bib10","author":"Massuda"},{"issue":"5","key":"10.1016\/j.heliyon.2023.e16634_bib11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pntd.0004705","article-title":"Sensitivity of the dengue surveillance system in Brazil for detecting hospitalized cases","volume":"10","author":"Coelho","year":"2016","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib12","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1590\/S0034-89102006000100021","article-title":"Qualidade dos dados da vigil\u00e2ncia epidemiol\u00f3gica da dengue em Belo Horizonte, MG","volume":"40","author":"Duarte","year":"2006","journal-title":"Rev. Saude Publica"},{"issue":"3","key":"10.1016\/j.heliyon.2023.e16634_bib13","doi-asserted-by":"crossref","first-page":"e196","DOI":"10.1371\/journal.pntd.0000196","article-title":"Decision tree algorithms predict the diagnosis and outcome of dengue fever in the early phase of illness","volume":"2","author":"Tanner","year":"2008","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib14","doi-asserted-by":"crossref","DOI":"10.1186\/1471-2334-13-77","article-title":"Clinical and laboratory features that discriminate dengue from other febrile illnesses: a diagnostic accuracy study in Rio de Janeiro, Brazil","volume":"13","author":"Daumas","year":"2013","journal-title":"BMC Infect. Dis."},{"key":"10.1016\/j.heliyon.2023.e16634_bib15","doi-asserted-by":"crossref","DOI":"10.1016\/j.artmed.2021.102157","article-title":"Dengue models based on machine learning techniques: a systematic literature review","volume":"119","author":"Hoyos","year":"2021","journal-title":"Artif. Intell. Med."},{"key":"10.1016\/j.heliyon.2023.e16634_bib16","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1186\/s12879-019-4282-y","article-title":"Characterization of clinical patterns of dengue patients using an unsupervised machine learning approach","volume":"19","author":"Macedo Hair","year":"2019","journal-title":"BMC Infect. Dis."},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib17","doi-asserted-by":"crossref","first-page":"694","DOI":"10.1186\/s12879-016-2024-y","article-title":"A predictive model to differentiate dengue from other febrile illness","volume":"16","author":"Fern\u00e1ndez","year":"2016","journal-title":"BMC Infect. Dis."},{"key":"10.1016\/j.heliyon.2023.e16634_bib18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0216140","article-title":"Predatory efficacy of five locally available copepods on Aedes larvae under laboratory settings: an approach towards bio-control of dengue in Sri Lanka","volume":"14","author":"Udayanga","year":"2019","journal-title":"PLoS One"},{"key":"10.1016\/j.heliyon.2023.e16634_bib19","doi-asserted-by":"crossref","first-page":"6957","DOI":"10.1016\/j.vaccine.2017.10.070","article-title":"Dengue vaccine supplies under endemic and epidemic conditions in three dengue-endemic countries: Colombia, Thailand, and Vietnam","volume":"35","author":"Lee","year":"2017","journal-title":"Vaccine"},{"key":"10.1016\/j.heliyon.2023.e16634_bib20","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pntd.0006570","article-title":"Forecasting the effectiveness of indoor residual spraying for reducing dengue burden","volume":"12","author":"Hladish","year":"2018","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"10","key":"10.1016\/j.heliyon.2023.e16634_bib21","doi-asserted-by":"crossref","first-page":"322","DOI":"10.3390\/tropicalmed7100322","article-title":"Dengue prediction in Latin America using machine learning and the one health perspective: a literature review","volume":"7","author":"Cabrera","year":"2022","journal-title":"Trav. Med. Infect. Dis."},{"issue":"9","key":"10.1016\/j.heliyon.2023.e16634_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2020.e04858","article-title":"A decade of arbovirus emergence in the temperate southern cone of South America: dengue, Aedes aegypti and climate dynamics in C\u00f3rdoba, Argentina","volume":"6","author":"Estallo","year":"2020","journal-title":"Heliyon"},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib23","article-title":"Geographic shifts in the bioclimatic suitability for Aedes aegypti under climate change scenarios in Colombia. Heliyon. 2019 Dec 31;6(1):e03101. doi: 10.1016\/j.heliyon.2019.e03101","volume":"6","author":"Portilla Cabrera","year":"2020","journal-title":"Erratum in: Heliyon"},{"key":"10.1016\/j.heliyon.2023.e16634_bib26","series-title":"Brasil. Minist\u00e9rio da Sa\u00fade. Portaria GM\/MS no 2.848, de 06 de novembro de 2007. Publica a Tabela de Procedimentos, Medicamentos, \u00d3rteses, Pr\u00f3teses e Materiais Especiais - OPM do Sistema \u00danico de Sa\u00fade","year":"2007"},{"key":"10.1016\/j.heliyon.2023.e16634_bib27","doi-asserted-by":"crossref","unstructured":"Baquero OS, Santana LMR, Chiaravalloti-Neto F.Dengue forecasting in S\u00e3o Paulo city with generalized additive models, artificial neural networks and seasonal autoregressive integrated moving average models.https:\/\/doi.org\/10.1371\/journal.pone.0195065.","DOI":"10.1371\/journal.pone.0195065"},{"issue":"8","key":"10.1016\/j.heliyon.2023.e16634_bib28","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1093\/trstmh\/traa031","article-title":"Evaluating the validity of dengue clinical-epidemiological criteria for diagnosis in patients residing in a Brazilian endemic area","volume":"114","author":"da Silva Ferreira","year":"2020","journal-title":"Trans. R. Soc. Trop. Med. Hyg."},{"key":"10.1016\/j.heliyon.2023.e16634_bib29","doi-asserted-by":"crossref","DOI":"10.1155\/2019\/7307803","article-title":"Predictive models for the medical diagnosis of dengue: a case study in Paraguay","volume":"2019","author":"Mello-Rom\u00e1n","year":"2019","journal-title":"Comput. Math. Methods Med."},{"issue":"2","key":"10.1016\/j.heliyon.2023.e16634_bib30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pntd.0009014","article-title":"Assessing the reporting of dengue, chikungunya and zika to the national surveillance system in Colombia from 2014\u20132017: a capture-recapture analysis accounting for misclassification of arboviral diagnostics","volume":"15","author":"Carabali","year":"2021","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12913-018-3104-z","article-title":"Validity of International Classification of Diseases (ICD) coding for dengue infections in hospital discharge records in Malaysia","volume":"18","author":"Woon","year":"2018","journal-title":"BMC Health Serv. Res."},{"issue":"4","key":"10.1016\/j.heliyon.2023.e16634_bib32","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1109\/JPROC.2017.2789319","article-title":"Predicting chronic disease hospitalizations from electronic health records: an interpretable classification approach","volume":"106","author":"Brisimi","year":"2018","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.heliyon.2023.e16634_bib33","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1186\/1472-6947-11-51","article-title":"Predicting disease risks from highly imbalanced data using random forest","volume":"11","author":"Khalilia","year":"2011","journal-title":"BMC Med. Inf. Decis. Making"},{"key":"10.1016\/j.heliyon.2023.e16634_bib34","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1002\/sam.11583","article-title":"Optimal ratio for data splitting","volume":"15","author":"Joseph","year":"2022","journal-title":"Stat. Anal. Data Min.: ASA Data Sci. J."},{"key":"10.1016\/j.heliyon.2023.e16634_bib35","series-title":"20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). I6doc. Com Publ","first-page":"441","article-title":"The \u2018K\u2019in K-fold cross validation","author":"Anguita","year":"2012"},{"key":"10.1016\/j.heliyon.2023.e16634_bib36","doi-asserted-by":"crossref","DOI":"10.7717\/peerj-cs.604","article-title":"Selective oversampling approach for strongly imbalanced data","volume":"7","author":"Gnip","year":"2021","journal-title":"PeerJ Comput Sci"},{"issue":"4","key":"10.1016\/j.heliyon.2023.e16634_bib37","doi-asserted-by":"crossref","first-page":"573","DOI":"10.1093\/cid\/cit248","article-title":"Clinical reasoning for the infectious disease specialist: a primer to recognize cognitive biases","volume":"57","author":"Vick","year":"2013","journal-title":"Clin. Infect. Dis."},{"issue":"2","key":"10.1016\/j.heliyon.2023.e16634_bib38","doi-asserted-by":"crossref","first-page":"336","DOI":"10.3201\/eid2202.150495","article-title":"Accuracy of dengue reporting by national surveillance system, Brazil","volume":"22","author":"Silva","year":"2016","journal-title":"Emerg. Infect. Dis."},{"key":"10.1016\/j.heliyon.2023.e16634_bib39","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.ijid.2022.06.050","article-title":"Epidemiology and costs of dengue in Brazil: a systematic literature review","volume":"122","author":"Junior","year":"2022","journal-title":"Int. J. Infect. Dis."},{"issue":"3","key":"10.1016\/j.heliyon.2023.e16634_bib40","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0009208","article-title":"Co-circulation and misdiagnosis led to underestimation of the 2015-2017 Zika epidemic in the Americas","volume":"15","author":"Oidtman","year":"2021","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"11","key":"10.1016\/j.heliyon.2023.e16634_bib41","doi-asserted-by":"crossref","first-page":"1894","DOI":"10.3201\/eid2211.160901","article-title":"Increased hospitalizations for neuropathies as indicators of zika virus infection, according to health information system data, Brazil","volume":"22","author":"Barcellos","year":"2016","journal-title":"Emerg. Infect. Dis."},{"key":"10.1016\/j.heliyon.2023.e16634_bib42","first-page":"6","article-title":"Indicadores epidemiol\u00f3gicos de febre chikungunya e infec\u00e7\u00e3o por zika virus no Munic\u00edpio de Marab\u00e1\/Epidemiological indicators of chikungunya fever and zika virus infection in the Municipality of Marab\u00e1","volume":"3","author":"Santos J\u00fanior","year":"2020","journal-title":"Braz. J. Heal. Rev."},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib43","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0007084","article-title":"Risk factors for hospitalization of patients with chikungunya virus infection at sentinel hospitals in Puerto Rico","volume":"13","author":"Hsu","year":"2019","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"4","key":"10.1016\/j.heliyon.2023.e16634_bib44","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0009359","article-title":"Diagnostic accuracy of the WHO clinical definitions for dengue and implications for surveillance: a systematic review and meta-analysis","volume":"15","author":"Raafat","year":"2021","journal-title":"PLoS Neglected Trop. Dis."},{"issue":"3","key":"10.1016\/j.heliyon.2023.e16634_bib45","doi-asserted-by":"crossref","first-page":"745","DOI":"10.4269\/ajtmh.20-0912","article-title":"Differentiating dengue from COVID-19: comparison of cases in Colombia","volume":"105","author":"Rosso","year":"2021","journal-title":"Am. J. Trop. Med. Hyg."},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib46","article-title":"Diffuse skin rash in tropical areas: dengue fever or COVID-19?","volume":"96","author":"Bandeira","year":"2021","journal-title":"An. Bras. Dermatol."},{"issue":"5","key":"10.1016\/j.heliyon.2023.e16634_bib47","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1016\/j.bjid.2020.07.008","article-title":"Co-infection of SARS-CoV-2 and dengue virus: a clinical challenge","volume":"24","author":"Bicudo","year":"2020","journal-title":"Braz. J. Infect. Dis."},{"issue":"10","key":"10.1016\/j.heliyon.2023.e16634_bib48","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/S2352-4642(19)30205-6","article-title":"Dengue infection and advances in dengue vaccines for children","volume":"3","author":"Halstead","year":"2019","journal-title":"Lancet Child Adol. Health"},{"issue":"1","key":"10.1016\/j.heliyon.2023.e16634_bib49","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.bjid.2012.08.020","article-title":"Comparison of clinical and laboratory characteristics between children and adults with dengue","volume":"17","author":"Souza","year":"2013","journal-title":"Braz. J. Infect. Dis."},{"issue":"3","key":"10.1016\/j.heliyon.2023.e16634_bib50","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1590\/1980-5497201600030008","article-title":"Quality of hospital databases in Brazil: some elements","volume":"19","author":"Machado","year":"2016","journal-title":"Rev. Bras. Epidemiol"}],"container-title":["Heliyon"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405844023038410?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2405844023038410?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T00:29:44Z","timestamp":1790468984000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2405844023038410"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":47,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2023,6]]}},"alternative-id":["S2405844023038410"],"URL":"https:\/\/doi.org\/10.1016\/j.heliyon.2023.e16634","relation":{},"ISSN":["2405-8440"],"issn-type":[{"value":"2405-8440","type":"print"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A machine learning model to assess potential misdiagnosed dengue hospitalization","name":"articletitle","label":"Article Title"},{"value":"Heliyon","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.heliyon.2023.e16634","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"e16634"}}