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Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution

Detalles Bibliográficos
Autor principal: Healthcare Engineering, Journal of
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356278/
https://www.ncbi.nlm.nih.gov/pubmed/37476766
http://dx.doi.org/10.1155/2023/9754791
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spelling pubmed-103562782023-07-20 Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution Healthcare Engineering, Journal of J Healthc Eng Retraction Hindawi 2023-07-12 /pmc/articles/PMC10356278/ /pubmed/37476766 http://dx.doi.org/10.1155/2023/9754791 Text en Copyright © 2023 Journal of Healthcare Engineering. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Healthcare Engineering, Journal of
Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution
title Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution
title_full Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution
title_fullStr Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution
title_full_unstemmed Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution
title_short Retracted: Data Mining-Based Stability and Prescription Analysis of Neonatal Parenteral Nutrition Solution
title_sort retracted: data mining-based stability and prescription analysis of neonatal parenteral nutrition solution
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356278/
https://www.ncbi.nlm.nih.gov/pubmed/37476766
http://dx.doi.org/10.1155/2023/9754791
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