restructure of discussion

thesis/sections/methodology.tex

@@ -246,6 +246,13 @@ The model outputs represent data-driven estimates and do not constitute medical
 All features were normalized based on their empirical distributions.
 A \textit{standard scaler} was applied to approximately normal features without outliers,
 a \textit{robust scaler} was used for distributions with outliers, and a \textit{MinMax scaler} was used for all others.
+Different Scalers were used for the train, validation and test sets to avoid data leakage.
+
+For the final data matrix, all features were stacked per timestep.
+The static features were repeated for each timestep.
+We are aware of possible inefficiencies here.
+A side channel for static features might improve predictive efficiency and potential quality, but
+this was left out to keep the interfaces the same for compatibility purposes between all tested models
 
 \subsubsection{Time-Series Input Representation}
 \label{subsubsec:time_series_input_representation}