Pediatric sepsis phenotypes for enhanced therapeutics: An application of clustering to electronic health records

OBJECTIVE: The heterogeneity of pediatric sepsis patients suggests the potential benefits of clustering analytics to derive phenotypes with distinct host response patterns that may help guide personalized therapeutics. We evaluate the relative performance of latent class analysis (LCA) and K‐means,...

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Detalles Bibliográficos
Autores principales: Koutroulis, Ioannis, Velez, Tom, Wang, Tony, Yohannes, Seife, Galarraga, Jessica E., Morales, Joseph A., Freishtat, Robert J., Chamberlain, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790108/
https://www.ncbi.nlm.nih.gov/pubmed/35112102
http://dx.doi.org/10.1002/emp2.12660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8790108/
https://www.ncbi.nlm.nih.gov/pubmed/35112102
http://dx.doi.org/10.1002/emp2.12660

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