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DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms

Effective patient care mandates rapid, yet accurate, diagnosis. With the abundance of non-invasive diagnostic measurements and electronic health records (EHR), manual interpretation for differential diagnosis has become time-consuming and challenging. This has led to wide-spread adoption of AI-power...

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Bibliografski detalji
Izdano u:Sci Rep
Glavni autori: Thiagarajan, Jayaraman J., Rajan, Deepta, Katoch, Sameeksha, Spanias, Andreas
Format: Artigo
Jezik:Inglês
Izdano: Nature Publishing Group UK 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7532141/
https://ncbi.nlm.nih.gov/pubmed/33009423
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-73126-9
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