Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

Abstract Critical care, like many healthcare areas, is under a dual assault from significantly increasing demographic and economic pressures. Intensive care unit (ICU) patients are highly variable in response to treatment, and increasingly aging populations mean ICUs are under increasing demand and...

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Bibliographic Details
Main Authors: J. Geoffrey Chase, Jean-Charles Preiser, Jennifer L. Dickson, Antoine Pironet, Yeong Shiong Chiew, Christopher G. Pretty, Geoffrey M. Shaw, Balazs Benyo, Knut Moeller, Soroush Safaei, Merryn Tawhai, Peter Hunter, Thomas Desaive
Format: Article
Language:English
Published: BMC 2018-02-01
Series:BioMedical Engineering OnLine
Online Access:http://link.springer.com/article/10.1186/s12938-018-0455-y

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http://link.springer.com/article/10.1186/s12938-018-0455-y

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