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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Bibliografiset tiedot
Julkaisussa:NPJ Digit Med
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group UK 2018
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Article
Linkit: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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