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Predicting the Outcome of Patient-Provider Communication Sequences using Recurrent Neural Networks and Probabilistic Models

The problem of analyzing temporally ordered sequences of observations generated by molecular, physiological or psychological processes to make predictions about the outcome of these processes arises in many domains of clinical informatics. In this paper, we focus on predicting the outcome of patient...

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Detalhes bibliográficos
Publicado no:AMIA Jt Summits Transl Sci Proc
Main Authors: Hasan, Mehedi, Kotov, Alexander, Carcone, April Idalski, Dong, Ming, Naar, Sylvie
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5961827/
https://ncbi.nlm.nih.gov/pubmed/29888043
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