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A comprehensive tool for creating and evaluating privacy-preserving biomedical prediction models
BACKGROUND: Modern data driven medical research promises to provide new insights into the development and course of disease and to enable novel methods of clinical decision support. To realize this, machine learning models can be trained to make predictions from clinical, paraclinical and biomolecul...
Kaydedildi:
| Yayımlandı: | BMC Med Inform Decis Mak |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2020
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7014648/ https://ncbi.nlm.nih.gov/pubmed/32046701 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-020-1041-3 |
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