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Machine learning applications on neonatal sepsis treatment: a scoping review.
O'Sullivan, Colleen; Tsai, Daniel Hsiang-Te; Wu, Ian Chang-Yen; Boselli, Emanuela; Hughes, Carmel; Padmanabhan, Deepak; Hsia, Yingfen.
Afiliación
  • O'Sullivan C; School of Pharmacy, Queen's University Belfast, Belfast, UK. cosullivan07@qub.ac.uk.
  • Tsai DH; Centre for Neonatal and Paediatric Infection, St. George's, University of London, London, UK.
  • Wu IC; School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Boselli E; Centre for Neonatal and Paediatric Infection, St. George's, University of London, London, UK.
  • Hughes C; School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Padmanabhan D; Department of Pharmacy, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Hsia Y; Department of Pediatrics, V. Buzzi Children's Hospital, University of Milan, Milan, Italy.
BMC Infect Dis ; 23(1): 441, 2023 Jun 29.
Article en En | MEDLINE | ID: mdl-37386442
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sepsis / Sepsis Neonatal Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Adult / Humans / Newborn Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Sepsis / Sepsis Neonatal Tipo de estudio: Diagnostic_studies / Prognostic_studies / Systematic_reviews Límite: Adult / Humans / Newborn Idioma: En Revista: BMC Infect Dis Asunto de la revista: DOENCAS TRANSMISSIVEIS Año: 2023 Tipo del documento: Article País de afiliación: Reino Unido