Despite the increasing demand for artificial intelligence research in medicine, the
functionalities of his methods in health emergency remain unclear. Therefore, the authors …

Hospital readmission is one of the challenges that force an extra pressure and financial
burden on healthcare and causes a significant waste of medical resources. However, some …

Caries is a dental disease caused by bacterial infection. If the cause of the caries is detected
early, the treatment will be relatively easy, which in turn prevents caries from spreading. The …

Research methods in machine learning play a pivotal role since the accuracy and reliability
of the results are influenced by the research methods used. The main aims of this paper …

Background Hospital readmissions are a key quality metric, which has been tied to
reimbursement. One strategy to reduce readmissions is to direct resources to patients at the …

Length of stay (LOS) and risk of readmission of patients are critical indicators of the quality
and operation efficiency of hospitals. Various machine learning (ML) approaches have been …

The primary objective of this study was to develop a risk-based readmission prediction
model using the EMR data available at discharge. This model was then validated with the …

Artificial Intelligence (AI) models can predict patient readmission probabilities, aiding
discharge decisions and preventing early discharges, which can lead to rehospitalization …

Numerous of high-impact applications involve predictive modeling of real-world data. This
spans from hospital readmission prediction for enhanced patient care up to event detection …

In today's world, data is growing in huge volume and type day by day. Historical data can
hence be leveraged to predict the likelihood of the events which are to occur in the future …