Neonatal medical data holds critical information within the healthcare industry, and it is
important to analyze this data effectively. Machine learning algorithms offer powerful tools for …

Background One in ten newborn children is born prematurely. The elongated length of stay
(LOS) of these children in the Neonatal Intensive Care Unit (NICU) has important …

Hospitals face many pressures, including limited budgets and resources. The Intensive Care
Unit (ICU) mostly includes patients who are in critical condition and require costly sources of …

The management of hospitals' resource capacity has a strong impact on the quality of care,
and the length-of-stay (LOS) of patients is an indicator that reflects its efficiency and …

Prolonged length of stay (LOS) is one of the most significant issues that hospitals must face
since it can determine an increase of costs and risk of complications and a decrease of …

Introduction Length of stay (LOS) prediction modelling in intensive care units is a valuable
capacity planning tool as hospitals attempt to clear the backlog of surgical patients resulting …

Mortality remains one of the most important outcomes to predict in Intensive Care Units
(ICUs). In fact, the sooner mortality is predicted, the better critical decisions are made by …

Background/Purpose The in-hospital length of stay (LOS) among very-low-birth-weight
(VLBW, BW< 1500 g) infants is an index for care quality and affects medical resource …

Predicting length of stay (LoS) accurately in the intensive care unit (ICU) is important to
improve care quality and resource utilization. However, for LoS prediction, existing methods …

Having an interpretable, dynamic length-of-stay model can help hospital administrators and
clinicians make better decisions and improve the quality of care. The widespread …