{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T21:10:25Z","timestamp":1778101825162,"version":"3.51.4"},"reference-count":5,"publisher":"Elsevier BV","issue":"2","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T00:00:00Z","timestamp":1770681600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.es","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Jornal de Pediatria"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.jped.2026.101523","type":"journal-article","created":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T13:05:32Z","timestamp":1773407132000},"page":"101523","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"title":["Letter to the editor regarding \u201cDevelopment of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis\u201d"],"prefix":"10.1016","volume":"102","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5961-9607","authenticated-orcid":false,"given":"Rafael Gomes","family":"de Melo D\u2019Elia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5870-1828","authenticated-orcid":false,"given":"Ang\u00e9lica Saiuri","family":"de Aur\u00e9lio Penteado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.jped.2026.101523_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.jped.2025.101472","article-title":"Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis","volume":"102","author":"Chen","year":"2025","journal-title":"J Pediatr (Rio J)"},{"issue":"1","key":"10.1016\/j.jped.2026.101523_bib0002","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","article-title":"Assessing the performance of prediction models: a framework for traditional and novel measures","volume":"21","author":"Steyerberg","year":"2010","journal-title":"Epidemiology"},{"issue":"1","key":"10.1016\/j.jped.2026.101523_bib0003","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1093\/ckj\/sfaa188","article-title":"External validation of prognostic models: what, why, how, when and where?","volume":"14","author":"Ramspek","year":"2020","journal-title":"Clin Kidney J"},{"key":"10.1016\/j.jped.2026.101523_bib0004","doi-asserted-by":"crossref","DOI":"10.1136\/bmj.g7594","article-title":"Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement","volume":"350","author":"Collins","year":"2015","journal-title":"BMJ"},{"issue":"9","key":"10.1016\/j.jped.2026.101523_bib0005","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1093\/jamia\/ocac093","article-title":"The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression","volume":"29","author":"van den Goorbergh","year":"2022","journal-title":"J Am Med Inform Assoc"}],"container-title":["Jornal de Pediatria"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0021755726000252?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0021755726000252?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T20:12:50Z","timestamp":1778098370000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0021755726000252"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":5,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["S0021755726000252"],"URL":"https:\/\/doi.org\/10.1016\/j.jped.2026.101523","relation":{},"ISSN":["0021-7557"],"issn-type":[{"value":"0021-7557","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Letter to the editor regarding \u201cDevelopment of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis\u201d","name":"articletitle","label":"Article Title"},{"value":"Jornal de Pediatria","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jped.2026.101523","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"simple-article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Author(s). Published by Elsevier Espa\u00f1a, S.L.U. on behalf of Sociedade Brasileira de Pediatria.","name":"copyright","label":"Copyright"}],"article-number":"101523"}}