Guiding Efficient, Effective, and Patient-Oriented Electrolyte Replacement in Critical Care: An Artificial Intelligence Reinforcement Learning Approach

Both provider- and protocol-driven electrolyte replacement have been linked to the over-prescription of ubiquitous electrolytes. Here, we describe the development and retrospective validation of a data-driven clinical decision support tool that uses reinforcement learning (RL) algorithms to recommen...

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Detalles Bibliográficos
Autores principales: Prasad, Niranjani, Mandyam, Aishwarya, Chivers, Corey, Draugelis, Michael, Hanson, C. William, Engelhardt, Barbara E., Laudanski, Krzysztof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143326/
https://www.ncbi.nlm.nih.gov/pubmed/35629084
http://dx.doi.org/10.3390/jpm12050661

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143326/
https://www.ncbi.nlm.nih.gov/pubmed/35629084
http://dx.doi.org/10.3390/jpm12050661

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