From: Predicting the post-treatment recovery of patients suffering from traumatic brain injury (TBI)
Symbol | Description |
---|---|
\(t_{\rm pre }\) | Timepoint before the start of the treatment |
\(t_{\rm post }\) | Timepoint after the end of the treatment |
\({\mathcal {X}}\) | Set of individuals. The cardinality of the set is n |
\(x_{\rm pre }\) | Instance of a patient at timepoint \(t_{\rm pre }\) |
\(l_{\rm pre }\) | Label of a patient at timepoint \(t_{\rm pre }\) |
\(\zeta _{\rm pre }\) | Clustering model learned over the instances of individuals from \(t_{\rm pre }\) |
\(\zeta _{\rm post }\) | Clustering model learned over the instances of individuals from \(t_{\rm post }\) |
\(c \in \zeta \) | A cluster of individuals from the model \(\zeta \) |
\({\mathcal {G}}\) | A cluster transition graph learned over clustering \(\zeta_{\rm pre }\) and \(\zeta_{\rm post }\) |