From: Prediction and risk stratification from hospital discharge records based on Hierarchical sLDA
Symbols | Notations |
---|---|
\(1 \le d \le D\) | HDRs index |
\(f_{1:F}\) | Patient features |
\(v_{1:N}\) | Patient feature-value pairs |
\(1 \le k \le K\) | Topic index |
\(\pi _{k}\) | Topic-feature multinomials of feature f, \(\pi _{k}\) is F-dimensional vector |
\(\beta _{k}\) | Topic-value multinomials of feature-value v, \(\beta _{k}\) is N-dimensional vector |
\(\alpha\) | K-dimensional Dirichlet parameter vector |
\(\theta\) | K-dimensional topic proportions |
\(r_{1:N}\) | Topic assignments |
y | Response variables |
\(\eta _{1:C}\) | Class coefficients |