Virtual patient with temporal evolution for mechanical ventilation trial studies: a stochastic model approach

• Main Authors: Shuen Ang, Christopher Yew, Chiew, Yeong Shiong, Wang, Xin, Ooi, Ean Hin, Mat Nor, Mohd Basri, Cove, Matthew E., Chase, J. Geoffrey
• Format: Article
• Language: English; English
• Published: Elsevier 2023
• Subjects: QA75 Electronic computers. Computer science; RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
• Online Access: http://irep.iium.edu.my/105906/7/105906_Virtual%20patient%20with%20temporal%20evolution.pdf; http://irep.iium.edu.my/105906/13/105906_Virtual%20patient%20with%20temporal%20evolution%20for%20mechanical%20ventilation%20trial%20studies_Scopus.pdf; http://irep.iium.edu.my/105906/; https://www.sciencedirect.com/science/article/abs/pii/S0169260723003942?via%3Dihub; https://doi.org/10.1016/j.cmpb.2023.107728

Background and objective: Healthcare datasets are plagued by issues of data scarcity and class imbalance. Clinically validated virtual patient (VP) models can provide accurate in-silico representations of real patients and thus a means for synthetic data generation in hospital critical care setting...