Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

The development of IoT technologies and the massive admiration and acceptance of social
media tools and applications, new doors of opportunity have been opened for using data …

The airline industry operates in a highly competitive market, in which achieving and
maintaining a high level of passenger satisfaction is seen as a key competitive advantage …

Objective To predict hospital admission at the time of ED triage using patient history in
addition to information collected at triage. Methods This retrospective study included all adult …

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …

Using artificial intelligence and machine learning techniques in different medical fields,
especially emergency medicine is rapidly growing. In this paper, studies conducted in the …

Crowding within emergency departments (EDs) can have significant negative
consequences for patients. EDs therefore need to explore the use of innovative methods to …

The ever-increasing amount of biomedical data is enabling new large-scale studies, even
though ad hoc computational solutions are required. The most recent Machine Learning …

The pervasive use of electronic health databases has increased the accessibility of free-text
clinical reports for supplementary use. Several text classification approaches, such as …