Research paper

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

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Title
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
Content partner
University of Canterbury Library
Collection
UC Research Repository
Description

© 2018 The Author(s). 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 their cohorts are increasingly ill. Equally, patient expectations are growing, while the economic ability to deliver care to all is declining. Better, more productive care is thus the ...

Format
Research paper
Research format
Journal article
Date created
2018
Creator
Chase, Geoff / Preiser JC / Dickson JL / Pironet A / Chiew YS / Pretty CG / Shaw, Geoff / Benyo B / Moeller K / Safaei S / Tawhai M / Hunter P / Desaive T
URL
http://hdl.handle.net/10092/16245
Related subjects
Humans / Critical Care / Cohort Studies / Models, Biological / Computer Simulation / Physiological Phenomena / Precision Medicine / Biomedical and clinical sciences / Clinical sciences / Intensive care / Technology / Medical Biotechnology / Information and computing sciences / Artificial intelligence / Modelling and simulation / Information and Computing Sciences / Artificial Intelligence and Image Processing / Virtual Reality and Related Simulation

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