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Machine learning and deep learning to predict mortality in patients with spontaneous coronary artery dissection
Machine learning (ML) and deep learning (DL) can successfully predict high prevalence events in very large databases (big data), but the value of this methodology for risk prediction in smaller cohorts with uncommon diseases and infrequent events is uncertain. The clinical course of spontaneous coro...
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| Udgivet i: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Publishing Group UK
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8076284/ https://ncbi.nlm.nih.gov/pubmed/33903608 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-88172-0 |
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