Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - ScienceDirect
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Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records - ScienceDirect
![PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/47dfb9a646aaee158f0757eb6fa6fd89b94d5e23/11-Figure6-1.png "PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar")
PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar
Cambio support critical ICU research – The Lancet 03/2020: Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit - Cambio
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The Lancet Digital Health, April 2020, Volume 2, Issue 4, Pages e149-e208
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![PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/47dfb9a646aaee158f0757eb6fa6fd89b94d5e23/4-Figure1-1.png "PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar")
PDF] Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records. | Semantic Scholar
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The Lancet Digital Health, June 2019, Volume 1, Issue 2, Pages e45-e99
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PDF) Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient records
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