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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Detalles Bibliográficos
Autores principales: Hasan, Mehedi, Kotov, Alexander, Carcone, April Idalski, Dong, Ming, Naar, Sylvie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2018
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961827/
https://www.ncbi.nlm.nih.gov/pubmed/29888043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5961827/
https://www.ncbi.nlm.nih.gov/pubmed/29888043

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