Identification of data elements for blood gas analysis dataset: a base for developing registries and artificial intelligence-based systems

BACKGROUND: One of the challenging decision-making tasks in healthcare centers is the interpretation of blood gas tests. One of the most effective assisting approaches for the interpretation of blood gas analysis (BGA) can be artificial intelligence (AI)-based decision support systems. A primary ste...

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Detalles Bibliográficos
Autores principales: Zare, Sahar, Meidani, Zahra, Ouhadian, Maryam, Akbari, Hosein, Zand, Farid, Fakharian, Esmaeil, Sharifian, Roxana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902269/
https://www.ncbi.nlm.nih.gov/pubmed/35260155
http://dx.doi.org/10.1186/s12913-022-07706-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902269/
https://www.ncbi.nlm.nih.gov/pubmed/35260155
http://dx.doi.org/10.1186/s12913-022-07706-y

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