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

Author:

Nielsen Annelaura B,Thorsen-Meyer Hans-Christian,Belling Kirstine,Nielsen Anna P,Thomas Cecilia E,Chmura Piotr J,Lademann Mette,Moseley Pope L,Heimann Marc,Dybdahl Lars,Spangsege Lasse,Hulsen Patrick,Perner Anders,Brunak Søren

Funder

Novo Nordisk Foundation

Danish Innovation Fund

Publisher

Elsevier BV

Subject

Health Information Management,Decision Sciences (miscellaneous),Health Informatics,Medicine (miscellaneous)

Reference40 articles.

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2. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study;Le Gall;JAMA,1993

3. APACHE II: a severity of disease classification system;Knaus;Crit Care Med,1985

4. Machine learning and decision support in critical care;Johnson;Proc IEEE Inst Electr Electron Eng,2016

5. The impact of comorbid [corrected] conditions on critical illness;Esper;Crit Care Med,2011

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