Applying machine learning to consumer wearable data for the early detection of complications after pediatric appendectomy

When children are discharged from the hospital after surgery, their caregivers often rely on subjective assessments (e.g., appetite, fatigue) to monitor postoperative recovery as objective assessment tools are scarce at home. Such imprecise and one-dimensional evaluations can result in unwarranted e...

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Detalles Bibliográficos
Autores principales: Ghomrawi, Hassan M. K., O’Brien, Megan K., Carter, Michela, Macaluso, Rebecca, Khazanchi, Rushmin, Fanton, Michael, DeBoer, Christopher, Linton, Samuel C., Zeineddin, Suhail, Pitt, J. Benjamin, Bouchard, Megan, Figueroa, Angie, Kwon, Soyang, Holl, Jane L., Jayaraman, Arun, Abdullah, Fizan
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/PMC10432429/
https://www.ncbi.nlm.nih.gov/pubmed/37587211
http://dx.doi.org/10.1038/s41746-023-00890-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432429/
https://www.ncbi.nlm.nih.gov/pubmed/37587211
http://dx.doi.org/10.1038/s41746-023-00890-z

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