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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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| I publikationen: | Sci Rep |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Nature Publishing Group
2016
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| Ämnen: | |
| Länkar: | 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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