Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis-Reference-Cited by-同舟云学术

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Development and Verification of a Digital Twin Patient Model to Predict Specific Treatment Response During the First 24 Hours of Sepsis

Published:2020-11 Issue:11 Volume:2 Page:e0249
ISSN:2639-8028
Container-title:Critical Care Explorations
language:en
Short-container-title:

Author:

Lal Amos,Li Guangxi,Cubro Edin,Chalmers Sarah,Li Heyi,Herasevich Vitaly,Dong Yue,Pickering Brian W.,Kilickaya Oguz,Gajic Ognjen

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

General Medicine

Reference22 articles.

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2. Short-term mortality prediction for acute lung injury patients: External validation of the acute respiratory distress syndrome network prediction model.;Damluji;Crit Care Med,2011

3. Recognizing sepsis as a global health priority - a WHO resolution.;Reinhart;N Engl J Med,2017

4. Early goal-directed therapy in the treatment of severe sepsis and septic shock.;Rivers;N Engl J Med,2001

5. The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.;Komorowski;Nat Med,2018

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