Publications by authors named "Kuo-Kuang Cheng"

Background: We aimed to develop and validate models for predicting intensive care unit (ICU) mortality of critically ill adult patients as early as upon ICU admission.

Methods: Combined data of 79,657 admissions from two teaching hospitals' ICU databases were used to train and validate the machine learning models to predict ICU mortality upon ICU admission and at 24 h after ICU admission by using logistic regression, gradient boosted trees (GBT), and deep learning algorithms.

Results: In the testing dataset for the admission models, the ICU mortality rate was 7%, and 38.

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Background: Providing palliative care to patients who withdraw from life-sustaining treatments is crucial; however, delays or the absence of such services are prevalent. This study used natural language processing and network analysis to identify the role of medications as early palliative care referral triggers.

Methods: We conducted a retrospective observational study of 119 adult patients receiving specialized palliative care after endotracheal tube withdrawal in intensive care units of a Taiwan-based medical center between July 2016 and June 2018.

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Ordered mesoporous TiO(2) materials with an anatase frameworks have been synthesized by using a cationic surfactant cetyltrimethylammonium bromide (C(16)TMABr) as a structure-directing agent and soluble peroxytitanates as Ti precursor through a self-assembly between the positive charged surfactant S(+) and the negatively charged inorganic framework I(-) (S(+)I(-) type). The low-angle X-ray diffraction (XRD) pattern of the as-prepared mesoporous TiO(2) materials indicates a hexagonal mesostructure. XRD and transmission electron microscopy results and nitrogen adsorption-desorption isotherms measurements indicate that the calcined mesoporous TiO(2) possesses an anatase crystalline framework having a maximum pore size of 6.

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