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VIEW SELECTED LIBRARY MEDIA

Name of Media:

Algorithm Uses Individual Medical History to Predict Patient’s Chance of Survival in ICU

Author(s):

SIAVASH PARKHIDEH

Publisher or Source:

CRITICAL CARE

Type of Media:

Medical Journal

Media Originally for:

Critical Care Physicians, General Medical Professionals, Nurses and/or Other Critical Care Medical Professionals

Country of Origin:

United Kingdom

Primary Focus of Media:

Pre-Use of PICS Designation

COVID-19 Related:

No

Description:

Researchers in Denmark have developed a new algorithm that predicts an individual patient’s risk of mortality in the ICU. Their work, recently published in the journal Digital Health, demonstrates that the algorithm outperforms current non-computational methods of estimating mortality. Algorithms of this nature can help direct resources where they are needed most to best improve patient outcomes, and help catch problems early.

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PostICU, Inc's library staff reviewed this copyrighted material contained in the library and reasonably believes that its inclusion in our library complies with the "Fair Use Doctrine" because: (1) our library's is for nonprofit and educational purposes; (2) the nature of the copyrighted work is related to our mission; (3) the amount and substantiality of the portion used in relation to the copyrighted work as a whole is fair and reasonable; and (4) the potential market for or value of the copyrighted work will if impacted, should be enhanced, by its presence in our library.

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