Early prediction of in-hospital mortality in Intensive Care Unit (ICU) patients is crucial for
optimizing resource allocation, informing prognosis discussions, and guiding treat-ment …

Improving the Intensive Care Unit (ICU) management network and building cost-effective
and well-managed healthcare systems are high priorities for healthcare units. Creating …

Mortality prediction in a hospital Intensive Care Unit (ICU) is a challenge that must be
addressed with high precision. Machine Learning (ML) is a powerful tool in predictive …

Accurate mortality prediction in Intensive Care Units (ICUs) is crucial for optimizing patient
care and resource allocation. Traditional prediction models that are essential in guiding …

Purpose Mortality risk prediction helps clinicians make better decisions in patient healthcare.
However, existing severity scoring systems or algorithms used in intensive care units (ICUs) …

Improving predictive models for intensive care unit (ICU) inpatients requires a new strategy
that periodically includes the latest clinical data and can be updated to reflect local …

The goal of this research is to offer insightful information that can improve Ethiopia's
intensive care unit (ICU) services. There is an increased risk of patients' death in Intensive …

Background Mechanical ventilation (MV) is vital for critically ill ICU patients but carries
significant mortality risks. This study aims to develop a predictive model to estimate hospital …

Background and Objective Healthcare professionals may be able to anticipate more
accurately a patient's timing of death and assess their possibility of recovery by …

Perpetually improving mortality prediction in intensive care units (ICUs) via the
implementation of eHealth evaluation approaches has become a major research hotspot in …