Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients

Unsupervised clustering of intensive care unit (ICU) medications may identify unique medication clusters (i.e., pharmacophenotypes) in critically ill adults. We performed an unsupervised analysis with Restricted Boltzmann Machine of 991 medications profiles of patients managed in the ICU to explore...

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Detalles Bibliográficos
Autores principales: Sikora, Andrea, Jeong, Hayoung, Yu, Mengyun, Chen, Xianyan, Murray, Brian, Kamaleswaran, Rishikesan
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/PMC10511715/
https://www.ncbi.nlm.nih.gov/pubmed/37730817
http://dx.doi.org/10.1038/s41598-023-42657-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10511715/
https://www.ncbi.nlm.nih.gov/pubmed/37730817
http://dx.doi.org/10.1038/s41598-023-42657-2

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