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Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk
ICU mortality risk prediction is a tough yet important task. On one hand, due to the complex temporal data collected, it is difficult to identify the effective features and interpret them easily; on the other hand, good prediction can help clinicians take timely actions to prevent the mortality. The...
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| Izdano u: | Proceedings (IEEE Int Conf Bioinformatics Biomed) |
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| Glavni autori: | , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6662568/ https://ncbi.nlm.nih.gov/pubmed/31360595 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BIBM.2018.8621403 |
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