The explosive growth and widespread accessibility of digital health data have led to a surge
of research activity in the healthcare and data sciences fields. The conventional approaches …

Data Mining is one of the most motivating area of research that is become increasingly
popular in health organization. Data Mining plays an important role for uncovering new …

The ultimate goal to improve healthcare practices and the development of better biomedical
products largely depends on the ability to share and link the wealth of collected medical …

The huge amount of healthcare data, coupled with the need for data analysis tools has
made data mining interesting research areas. Data mining tools and techniques help to …

Although Health Level Seven (HL 7) message standards (v2, v3, Clinical Document
Architecture (CDA)) have been commonly adopted, there are still issues associated with …

Due to recent technology advances, large masses of medical data are obtained. These large
data contain valuable information for diagnosing diseases. Data mining techniques can be …

Data mining is the modern way of discovering knowledge among databases that leads to
statistical analysis, pattern recognition, and information prediction. Today, one of the most …

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

Due to high competition in the sale of policies between insurance companies and climb
increasing of demand for them, knowing the customers of these products is considered …

This paper focuses on the recent developments in precision medicine (PM) and health
informatics in the context of big data. PM aims to integrate a complete dataset gathered …