Continuous visualization and validation of pain in critically ill patients using artificial intelligence: a retrospective observational study

Machine learning tools have demonstrated viability in visualizing pain accurately using vital sign data; however, it remains uncertain whether incorporating individual patient baselines could enhance accuracy. This study aimed to investigate improving the accuracy by incorporating deviations from ba...

Descripción completa

Detalles Bibliográficos
Autores principales: Kobayashi, Naoya, Watanabe, Kazuki, Murakami, Hitoshi, Yamauchi, Masanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576770/
https://www.ncbi.nlm.nih.gov/pubmed/37838818
http://dx.doi.org/10.1038/s41598-023-44970-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576770/
https://www.ncbi.nlm.nih.gov/pubmed/37838818
http://dx.doi.org/10.1038/s41598-023-44970-2

Ejemplares similares