Data Science Approaches for Effective Use of Mobile Device–Based Collection of Real‐World Data

摘要

The use of mobile health for monitoring disease outside of the clinic has opened new opportunities for drug testing and monitoring. In particular, these tools are providing new experimental designs for collection of real‐world data. These technologies and queries, although promising, require the application of analytical methods that can accommodate the uncontrolled, unmonitored, individualized, and, often, near continuous data streams. Here, we discuss opportunities and ramifications on analytical considerations.