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

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...

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書誌詳細
主要な著者:	Shuen Ang, Christopher Yew, Chiew, Yeong Shiong, Wang, Xin, Ooi, Ean Hin, Mat Nor, Mohd Basri, Cove, Matthew E., Chase, J. Geoffrey
フォーマット:	論文
言語:	English English
出版事項:	Elsevier 2023
主題:	QA75 Electronic computers. Computer science RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
オンライン･アクセス:	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
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