Objective: The mortality rate of critically ill patients in ICUs is relatively high. In order to
evaluate patients' mortality risk, different scoring systems are used to help clinicians assess …

Background Traditional scoring systems for patients' outcome prediction in intensive care
units such as Oxygenation Saturation Index (OSI) and Oxygenation Index (OI) may not …

Background The Acute Physiology and Chronic Health Evaluation (APACHE) II system is
inaccurate in predicting the risk of death in trauma patients, especially those without head …

Backgrounds The in-hospital mortality in lung cancer patients admitted to intensive care unit
(ICU) is extremely high. This study intended to adopt machine learning algorithm models to …

Background. Out‐of‐hospital cardiac arrest (OHCA) is a major health problem worldwide,
and neurologic injury remains the leading cause of morbidity and mortality among survivors …

Introduction: The mortality of severe traumatic brain injury (TBI) is contributed by the severity
of the head injury, associated trauma, and complication during treatment. This study aimed …

Background Traumatic brain injury remains a global health problem. Understanding the
relative importance of outcome predictors helps optimize our treatment strategies by …

Background and objective Alert of patient deterioration is essential for prompt medical
intervention in the Medical Intensive Care Unit (MICU). Logistic Regression (LR) has been …

Previous studies have identified some clinical parameters for predicting long-term functional
recovery and mortality after traumatic brain injury (TBI). Here, data mining methods were …

Abstract Background/Objective Current severe traumatic brain injury (TBI) outcome
prediction models calculate the chance of unfavourable outcome after 6 months based on …