A hybrid method of recurrent neural network and graph neural network for next-period prescription prediction

Electronic health records (EHRs) have been widely used to help physicians to make decisions by predicting medical events such as diseases, prescriptions, outcomes, and so on. How to represent patient longitudinal medical data is the key to making these predictions. Recurrent neural network (RNN) is...

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Detalles Bibliográficos
Autores principales: Liu, Sicen, Li, Tao, Ding, Haoyang, Tang, Buzhou, Wang, Xiaolong, Chen, Qingcai, Yan, Jun, Zhou, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308113/
https://www.ncbi.nlm.nih.gov/pubmed/33727983
http://dx.doi.org/10.1007/s13042-020-01155-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7308113/
https://www.ncbi.nlm.nih.gov/pubmed/33727983
http://dx.doi.org/10.1007/s13042-020-01155-x

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