Response of the authors to the letter to the editor regarding "Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis".
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| Title: | Response of the authors to the letter to the editor regarding "Development of a machine learning-based predictive model for long-term adverse outcomes in neonatal bacterial meningitis". |
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| Authors: | Chen Y; Capital Institute of Pediatrics, Department of Neonatology, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Wang S; Chinese Academy of Sciences, Institute of Automation, Laboratory of Brain Atlas and Brain-inspired Intelligence, Beijing, China; Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Beijing, China., Wu J; Capital Medical University, Capital Institute of Pediatrics, Capital Center for Children's Health, Center for Evidence-Based Medicine, Beijing, China., Wang C; Capital Medical University, Capital Institute of Pediatrics, Capital Center for Children's Health, Hemangioma and Interventional Vascular Center, Beijing, China., Li Y; Capital Institute of Pediatrics, Department of Neonatology, Beijing, China., Zou P; Capital Institute of Pediatrics, Department of Neonatology, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Xiao R; Capital Institute of Pediatrics, Department of Neonatology, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China., Zhang N; Seventh Medical Center of PLA General Hospital, Faculty of Pediatrics, Department of Neonatology, Beijing, China., He H; Chinese Academy of Sciences, Institute of Automation, Laboratory of Brain Atlas and Brain-inspired Intelligence, Beijing, China; Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Beijing, China., Wang Y; Capital Institute of Pediatrics, Department of Neonatology, Beijing, China; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. Electronic address: cxswyj@vip.sina.com. |
| Source: | Jornal de pediatria [J Pediatr (Rio J)] 2026 Mar-Apr; Vol. 102 (2), pp. 101525. Date of Electronic Publication: 2026 Mar 16. |
| Publication Type: | Letter |
| Journal Info: | Publisher: Elsevier Editora Ltd Country of Publication: Brazil NLM ID: 2985188R Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1678-4782 (Electronic) Linking ISSN: 00217557 NLM ISO Abbreviation: J Pediatr (Rio J) Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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