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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot provide explicit interpretability. We evaluated an i...
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| Published in: | AMIA Annu Symp Proc |
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| Main Authors: | , , , , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
American Medical Informatics Association
2018
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371274/ https://ncbi.nlm.nih.gov/pubmed/30815086 |
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