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Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age
Determining the discrepancy between chronological and physiological age of patients is central to preventative and personalized care. Electronic medical records (EMR) provide rich information about the patient physiological state, but it is unclear whether such information can be predictive of chron...
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| Pubblicato in: | J Biomed Inform |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5716867/ https://ncbi.nlm.nih.gov/pubmed/29113935 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2017.11.003 |
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