… for reality mining and predictive analysis used in eHealth Apps. Keywords: Reality mining ·
Big data · Machine learning · eHealth · … Reality mining refers to the process of collecting and …

… Through this chapter, we present a background related to the good sides of reality mining
and predictive analytics for prediction in different fields. We then present the proposed …

… capabilities of reality mining in terms of individual health, social network mapping, behavior
patterns and treatment monitoring. We illustrate the benefits of reality mining analytics that …

… This study suggests enhanced tech mining as a tool to … tech mining and then demonstrate
how enhanced tech mining works by examining a technological opportunity gap in the e-health …

… In the majority of cases, such expectations do not match reality. This is particularly true for
our proposed system which extracts streaming data from a stream temp store. …

Predicting disease dynamics during an epidemic is an important aspect of e-Health
applications. In such prediction, Realistic Contact Networks (RCNs) have been widely used to …

… Telemedicine, first used in the 1920s, is the oldest form of eHealth. … This review explores
the history of eHealth, and describes … of the history of eHealth in Figure 3 , eHealth started with …

… Because of that, we must develop global adaptive health information networks to achieve
spontaneous interoperability [2] followed by reality mining [1] (algorithms to reason on that data …

… mining and reality mining, it is prima facie observed that reality mining is a sub-category of
data mining, … The application of reality mining to eHealth is also examined by Pentland, Lazer, …

… mining and reality mining, it is prima facie observed that reality mining is a sub-category of
data mining, … The application of reality mining to eHealth is also examined by Pentland, Lazer, …