Data-Driven Models for eHealth Applications

Mathematical model delivered both from knowledge of a system and from experimental data may provide additional information about the system under consideration. This information may be further exploited for different purposes, such as prediction, diagnosis, decision making and system control. Data-driven models have been found to be particularly useful in assessment of some human abilities in sport and medicine. We demonstrate the usefulness of data-driven models in custom eHealth application.