INDIV-3D. A new model for INdividual Data Integration and Visualisation using spatial coordinates

摘要

This work describes a new three-dimensional model for the integration and visualization of comprehensive individual health-related information. The model could be used to represent longitudinal datasets corresponding to any kind of biomedical data (genome, phenome, exposome) relative to a single individual or to populations. Analogously with geographical information systems this model includes different layers at each time point, which are associated with different sets of biomedical data. Each data element represented in this model receives two angular and one linear (temporal) coordinates. This new model could be able to represent virtually any kind of biomedical data including those captured in realtime such as self-monitoring activities or other exposome-related information.