Publications by authors named "Leilei Qu"

Background: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is often combined with respiratory failure, which increases the patient's morbidity and mortality. Diaphragm ultrasound (DUS) has developed rapidly in the field of critical care in recent years. Studies with DUS monitoring diaphragm-related rapid shallow breathing index have demonstrated important results in guiding intensive care unit patients out of the ventilator.

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Article Synopsis
  • * Various machine learning techniques were employed, including random forest and logistic regression, to analyze clinical data while ensuring feature selection and model validation through methods like cross-validation and bootstrapping.
  • * The random forest algorithm proved to be the most effective, showing high accuracy in predicting outcomes related to LDL-C target attainment, liver enzyme abnormalities, and muscle-related side effects associated with statins.
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Accurate particulate matter 2.5 (PM) prediction plays a crucial role in the accurate management of air pollution and prevention of respiratory diseases. However, PM, as a nonlinear time series with great volatility, is difficult to achieve accurate prediction.

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During the past decades, the increase of antibiotic resistance has become a major concern worldwide. The researchers found that superbugs with new type of resistance genes (NDM-1) have two aspects of transmission characteristics; the first is that the antibiotic resistance genes can horizontally transfer among bacteria, and the other is that the superbugs can spread between humans through direct contact. Based on these two transmission mechanisms, we study the dynamics of population in hospital environment where superbugs exist.

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