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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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Pubblicato in:AMIA Jt Summits Transl Sci Proc
Autori principali: Hasan, Mehedi, Kotov, Alexander, Carcone, April Idalski, Dong, Ming, Naar, Sylvie
Natura: Artigo
Lingua:Inglês
Pubblicazione: American Medical Informatics Association 2018
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC5961827/
https://ncbi.nlm.nih.gov/pubmed/29888043
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