Prediction of Unplanned Hospital Readmission using Clinical and Longitudinal Wearable Sensor Features

Predictive models have been suggested as potential tools for identifying highest risk patients for hospital readmissions, in order to improve care coordination and ultimately long-term patient outcomes. However, the accuracy of current predictive models for readmission prediction is still moderate a...

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Detalles Bibliográficos
Autores principales: Yhdego, Haben H., Nayebnazar, Arshia, Amrollahi, Fatemeh, Boussina, Aaron, Shashikumar, Supreeth, Wardi, Gabriel, Nemati, Shamim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120790/
https://www.ncbi.nlm.nih.gov/pubmed/37090626
http://dx.doi.org/10.1101/2023.04.10.23288371

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120790/
https://www.ncbi.nlm.nih.gov/pubmed/37090626
http://dx.doi.org/10.1101/2023.04.10.23288371

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