Clinical time series prediction: Toward 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
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