Continuous Health Interface Event Retrieval
This work addresses the need for real-time health monitoring by developing a system to combine events and data streams for retrieving interface events, which are incremental in applying existing methods to health data.
The paper tackles the problem of retrieving complex biological events, like cardiovascular volume overload, from diverse health data streams by encoding domain knowledge with an event operator language, enabling continuous health estimation outside clinical settings.
Knowing the state of our health at every moment in time is critical for advances in health science. Using data obtained outside an episodic clinical setting is the first step towards building a continuous health estimation system. In this paper, we explore a system that allows users to combine events and data streams from different sources to retrieve complex biological events, such as cardiovascular volume overload. These complex events, which have been explored in biomedical literature and which we call interface events, have a direct causal impact on relevant biological systems. They are the interface through which the lifestyle events influence our health. We retrieve the interface events from existing events and data streams by encoding domain knowledge using an event operator language.