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Can machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter–defibrillators
BACKGROUND: Machine learning methods may complement traditional analytic methods for medical device surveillance. METHODS AND RESULTS: Using data from the National Cardiovascular Data Registry for implantable cardioverter–defibrillators (ICDs) linked to Medicare administrative claims for longitudina...
Tallennettuna:
| Julkaisussa: | Med Devices (Auckl) |
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| Päätekijät: | , , , , , , , , , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Dove Medical Press
2017
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5566316/ https://ncbi.nlm.nih.gov/pubmed/28860874 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2147/MDER.S138158 |
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