Implementation of a graph-embedded topic model for analysis of population-level electronic health records

To address the need for systematic investigation of the phenome enabled by ever-growing genotype and phenotype data, we describe our step-by-step software implementation of a graph-embedded topic model, including data preprocessing, graph learning, topic inference, and phenotype prediction. As a dem...

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Detalles Bibliográficos
Autores principales: Wang, Yuening, Grant, Audrey V., Li, Yue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807818/
https://www.ncbi.nlm.nih.gov/pubmed/36583962
http://dx.doi.org/10.1016/j.xpro.2022.101966

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807818/
https://www.ncbi.nlm.nih.gov/pubmed/36583962
http://dx.doi.org/10.1016/j.xpro.2022.101966

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