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Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervised deep feature...

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Bibliografske podrobnosti
izdano v:Sci Rep
Main Authors: Miotto, Riccardo, Li, Li, Kidd, Brian A., Dudley, Joel T.
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group 2016
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC4869115/
https://ncbi.nlm.nih.gov/pubmed/27185194
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep26094
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