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- W2310803142 abstract "Tight blood glucose (BG) control is known to reduce mortality and improve outcomes in critical care patients by 29–45% [1]. Several first principles models have been put forward to predict BG levels in patients so that tighter BG control may be achieved. These models have been employed in both simulation and clinical studies. However, to the best of our knowledge, they have not been tried for intensive care unit (ICU) patients in Singapore. Hence, the primary objective of this study is to evaluate the applicability and effectiveness of selected models for BG prediction in ICU patients, with the eventual goal of achieving tighter BG control. Two models are selected and tested for predicting clinical BG data in 8 surgical ICU patients. Results of this exploratory study are presented and discussed." @default.
- W2310803142 created "2016-06-24" @default.
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- W2310803142 date "2009-03-13" @default.
- W2310803142 modified "2023-09-26" @default.
- W2310803142 title "Predictability of Blood Glucose in Surgical ICU Patients in Singapore" @default.
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- W2310803142 doi "https://doi.org/10.1007/978-3-540-92841-6_459" @default.
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