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David J Albers1, George Hripcsak2, Lena Mamyina2
1Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, 80045, CO, USA; Department of Bioengineering, University of Colorado Denver, Aurora, 80045, CO, USA; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, 80045, CO, USA; Department of Biomedical Informatics, Columbia University, New York, 10032, NY, USA.
本研究引入了一种新的多目标数据同化方法,以提高模型准确性,使用稀疏的数据和不可靠的模型. 该方法增强了参数估计,并保持了系统动态,这对于血糖监测等应用至关重要.
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