Hospital length of stay of patients is a crucial factor for the effective planning and
management of hospital resources. There is considerable interest in predicting the LoS of …

The performance of the classification algorithm depends on the quality of the training data.
Data quality is an important factor that affects the data mining classification results. However …

It is estimated that one out of seven health insurance claims is rejected in the US; hospitals
across the country lose approximately $262 billion annually due to denied claims. This …

Insurance risk prediction is carried out to classify the levels of risk in insurance industries.
From the machine learning point of view, the problem of risk level prediction is a multi-class …

In neuroscience research, longitudinal data are often analysed using analysis of variance
(ANOVA) and multivariate analysis of variance (MANOVA) for repeated measures …

We investigate the influence of manufacturing and service technology investments (ie, tech
investments), Information and Communication Technologies (ICT), and financial factors on …

Purpose The purpose of this paper is to argue that modern-day xenophobia has emerged as
one of the high-risk factors for transnational mega construction projects (MCP's). While …

Spain, one of the European countries most affected by the COVID-19 pandemic, underwent
a strict lockdown between March and May 2020. This study examines longitudinally the …

Purpose This study sought to develop models with good identification for adverse outcomes
in patients with heart failure (HF) and find strong factors that affect prognosis. Patients and …

The ongoing COVID-19 pandemic has led to several changes in academic teaching
practices. Although educational digital technologies have been crucial during the initial …