Predicting mechanically ventilated patients future respiratory system elastance – A stochastic modelling approach

• Main Authors: Yew, Christopher Shuen Ang, Yeong, Shiong Chiew, Wang, Xin, Mat Nor, Mohd Basri, E. Cove, Matthew, Chase, Geoffrey
• Format: Article
• Language: English; English
• Published: Elsevier 2022
• Subjects: RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
• Online Access: http://irep.iium.edu.my/101269/7/101269_%20Predicting%20mechanically%20ventilated%20patients%20future%20respiratory.pdf; http://irep.iium.edu.my/101269/13/101269_Predicting%20mechanically%20ventilated%20patients%20future%20respiratory_SCOPUS.pdf; http://irep.iium.edu.my/101269/; https://www.elsevier.com/locate/compbiomed
• Institution: Universiti Islam Antarabangsa Malaysia

Background and objective: Respiratory mechanics of mechanically ventilated patients evolve significantly with time, disease state and mechanical ventilation (MV) treatment. Existing deterministic data prediction methods fail to comprehensively describe the multiple sources of heterogeneity of biol...