An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes

Clinical research networks (CRNs), made up of multiple healthcare systems each with patient data from several care sites, are beneficial for studying rare outcomes and increasing generalizability of results. While CRNs encourage sharing aggregate data across healthcare systems, individual systems wi...

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Detalles Bibliográficos
Autores principales: Edmondson, Mackenzie J., Luo, Chongliang, Duan, Rui, Maltenfort, Mitchell, Chen, Zhaoyi, Locke, Kenneth, Shults, Justine, Bian, Jiang, Ryan, Patrick B., Forrest, Christopher B., Chen, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490431/
https://www.ncbi.nlm.nih.gov/pubmed/34608222
http://dx.doi.org/10.1038/s41598-021-99078-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8490431/
https://www.ncbi.nlm.nih.gov/pubmed/34608222
http://dx.doi.org/10.1038/s41598-021-99078-2

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