Instead of extracting trends over time for each feature (e.g. blood pressure, respiratory rate, etc.) individually, this topic focuses on extracting multidimensional trends (including but not necessarily limited to two dimensions), e.g. correlation between individual features over time. Since the measurements of the individual features are not necessarily performed at the same time points, this topic includes a strategy for aligning the features’ time axes (e.g. by binning, etc.); see example data excerpt below.
Instead of extracting trends over time for each feature (e.g. blood pressure, respiratory rate, etc.) individually, this topic focuses on extracting multidimensional trends (including but not necessarily limited to two dimensions), e.g. correlation between individual features over time. Since the measurements of the individual features are not necessarily performed at the same time points, this topic includes a strategy for aligning the features’ time axes (e.g. by binning, etc.); see example data excerpt below.