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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7532141/ https://www.ncbi.nlm.nih.gov/pubmed/33009423 http://dx.doi.org/10.1038/s41598-020-73126-9 |