Over the past few years, there has been increased interest in data mining and machine
learning methods to improve hospital performance, in particular hospitals want to improve …

Purpose The length of stay (LoS) is one of the most used metrics for resource use in
Intensive Care Units (ICU). We propose a structured data-driven methodology to predict the …

Length of stay of an inpatient reflects the severity of illness as well as the practice patterns of
the hospital. Predicting the length of stay will provide a better perception of the different …

Purpose: Our objective is to identify the predictive factors and predict hospital length of stay
(LOS) in dengue patients, for efficient utilization of hospital resources. Methods: We …

Faced with the challenge of population ageing, healthcare providers are increasingly in
need for evidence-based artefacts to support the decision making process. In this regard, the …

The focus of this paper is to present the architecture of a Big-distributed Intrusion Detection
System (B-dIDS) to discover multi-pronged attacks which are anomalies existing across …

Dengue is regarded as the most important mosquito-borne viral disease. Recently dengue
has emerged as a public health burden in Southeast Asia and other tropical countries. At …

Prediction of nosocomial infections among patients is an important part of clinical
surveillance programs to enable the related personnel to take preventive actions in …

Over the past few years, there has been increased interest in data mining and machine
learning methods to improve hospital performance. Research has focused on prediction of …

Background Blood component transfusions are a common and often necessary medical
practice during the epidemics of dengue. Transfusions are required for patients when they …