Clinical time series prediction: towards a hierarchical dynamical system framework

Conclusion A new hierarchical dynamical system framework that lets us model irregularly sampled time series data is a promising new direction for modeling clinical time series and for improving their predictive performance.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research