Massive usage of credit cards has caused an escalation of fraud. Usage of credit cards has
resulted in the growth of online business advancement and ease of the e-payment system …

To date, there are no reviews on machine learning (ML) for predicting outcomes in trauma.
Consequently, it remains unclear as to how ML-based prediction models compare in the …

This paper surveys and examines how computer-aided techniques can be deployed in
detecting pneumonia. It also suggests a hybrid model that can effectively detect pneumonia …

Introduction For making reliable decisions, practitioners need to estimate uncertainties that
exist in data and decision models. In this paper we analyse uncertainties of predicting …

Alert systems detect critical events which can happen in the short term. Uncertainties in data
and in the models used for detection cause alert errors. In the case of air traffic control …

Introduction Treating severely injured patients requires numerous critical decisions within
short intervals in a highly complex situation. The coordination of a trauma team in this setting …

Nowadays, emergency department services are confronted to an increasing demand. This
situation causes emergency department overcrowding which often increases the length of …

Accurate survival prediction is crucial for doctors to choose appropriate treatment options
and make prognoses for gastric cancer patients. While machine learning algorithms have …

There are still problems in applications of Machine Learning for face recognition. Such
factors as lighting conditions, head rotations, emotions, and view angles affect the …

Preoperative evaluation of the liver with hydatid cyst and surrounding tissue structures is
extremely important for planning the course of surgery. The first experience of treating a …