Weekend discharges occur less frequently than discharges on weekdays, contributing to
hospital congestion. Artificial intelligence algorithms have previously been derived to predict …

This study applies a neural network framework to optimize the classification of firms and to
predict their difficulties in collecting external financial resources in the short term. In detail …

The rising cost of healthcare has become a global concern and is a significant challenge for
low and middle-income countries, including Jordan. This study aims to develop new neural …

Purpose To review the existing literature on predicting length of stay (LOS) and to apply the
findings on a Real World Data example in a single hospital. Methods Performing a literature …

Healthcare institutions in Poland constantly encounter challenges related both to the quality
of provided services and to the pressures associated with treatment effectiveness and …

Background Discharge date prediction plays a crucial role in healthcare management,
enabling efficient resource allocation and patient care planning. Accurate estimation of the …

Background. The aging of the population has led to a rapid increase in the prevalence of
most neurological diseases between 1990 and 2016, with a growth rate of up to 117 …

Abstract Objectives To analyze Organization for Economic Cooperation and Development
(OECD) indicators for the Health Systems of Costa Rica, Spain, and Italy, focusing on year-to …

Timely diagnosis is crucial for a patient's future care and treatment. However, inadequate
medical service or a global pandemic can limit physical contact between patients and …

In this article, the outpatient volume, hospitalization income and drug demand in hospital
management are taken as the research objects, and a neural network combined prediction …