Heterogeneous graph construction and HinSAGE learning from electronic medical records

Graph representation learning is a method for introducing how to effectively construct and learn patient embeddings using electronic medical records. Adapting the integration will support and advance the previous methods to predict the prognosis of patients in network models. This study aims to addr...

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Detalles Bibliográficos
Autores principales: Cho, Ha Na, Ahn, Imjin, Gwon, Hansle, Kang, Hee Jun, Kim, Yunha, Seo, Hyeram, Choi, Heejung, Kim, Minkyoung, Han, Jiye, Kee, Gaeun, Jun, Tae Joon, Kim, Young-Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729175/
https://www.ncbi.nlm.nih.gov/pubmed/36477457
http://dx.doi.org/10.1038/s41598-022-25693-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9729175/
https://www.ncbi.nlm.nih.gov/pubmed/36477457
http://dx.doi.org/10.1038/s41598-022-25693-2

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