Scalable and accurate deep learning with electronic health records

Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality. Constructing predictive statistical models typically requires extraction of curated predictor variables from normalized EHR data, a labor-intensive process that...

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Detalhes bibliográficos
Publicado no:NPJ Digit Med
Main Authors: Rajkomar, Alvin, Oren, Eyal, Chen, Kai, Dai, Andrew M., Hajaj, Nissan, Hardt, Michaela, Liu, Peter J., Liu, Xiaobing, Marcus, Jake, Sun, Mimi, Sundberg, Patrik, Yee, Hector, Zhang, Kun, Zhang, Yi, Flores, Gerardo, Duggan, Gavin E., Irvine, Jamie, Le, Quoc, Litsch, Kurt, Mossin, Alexander, Tansuwan, Justin, Wang, De, Wexler, James, Wilson, Jimbo, Ludwig, Dana, Volchenboum, Samuel L., Chou, Katherine, Pearson, Michael, Madabushi, Srinivasan, Shah, Nigam H., Butte, Atul J., Howell, Michael D., Cui, Claire, Corrado, Greg S., Dean, Jeffrey
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2018
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6550175/
https://ncbi.nlm.nih.gov/pubmed/31304302
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-018-0029-1
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