Virtual Patient Modeling and Prediction Validation for Pressure Controlled Mechanical Ventilation

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Title

Virtual Patient Modeling and Prediction Validation for Pressure Controlled Mechanical Ventilation

Content partner

University of Canterbury Library

Collection

UC Research Repository

Description

Abstract: Respiratory failure patients in the intensive care unit (ICU) require mechanical ventilation (MV) to support breathing and tissue oxygenation. Optimizing MV care is problematic. Significant patient variability confounds optimal MV settings and increase the risk of lung damage due to excessive pressure or volume delivery, which in turn can increase length of stay and cost, as well as mortality. Model-based care using in silico virtual patients can significantly affect ICU care, perso...

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Format

Research paper

Research format

Journal article

Date created

2020

Creator

Morton SE / Knopp JL / Tawhai MH / Docherty P / Moeller K / Heines SJ / Bergmans DC / Chase, Geoff

URL

https://hdl.handle.net/10092/101898

Related subjects

Engineering / Biomedical engineering / Biomechanical engineering / Mathematical sciences / Applied mathematics / Biological mathematics / Biomedical and clinical sciences / Cardiovascular medicine and haematology / Respiratory diseases

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You can learn more about the rights status of this item at: http://hdl.handle.net/10092/17651

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