\documentclass[../midl25_191.tex]{subfiles}
\begin{document}
\label{sec:appendix}
\appendix

\section{Additional Figures and Tables}
\begin{table}[htbp]
\centering
\caption{Per-fold performance of the proposed model.}
\label{tab:per_fold_performance}
\renewcommand{\arraystretch}{1.2}
\resizebox{0.7\textwidth}{!}{%
\begin{tabular}{c|ccc|ccc}
\hline
\multirow{2}{*}{\textbf{Fold}} & \multicolumn{3}{c|}{\textbf{DIME Dataset}} & \multicolumn{3}{c}{\textbf{INDEX Dataset}} \\
\cline{2-7}
& \textbf{MAE}$\downarrow$ & \textbf{RMSE}$\downarrow$ & $\mathbf{R}^2$$\uparrow$ & \textbf{MAE}$\downarrow$ & \textbf{RMSE}$\downarrow$ & $\mathbf{R}^2$$\uparrow$ \\
\hline
Fold 1 & 3.72 & 4.67 & 0.81 & 2.89 & 3.14 & 0.84 \\
Fold 2 & 3.12 & 4.11 & 0.78 & 0.77 & 0.86 & 0.99 \\
Fold 3 & 1.93 & 2.43 & 0.95 & 5.12 & 5.86 & 0.25 \\
Fold 4 & 2.41 & 3.27 & 0.85 & 9.06 & 11.17 & 0.13 \\
Fold 5 & 4.17 & 5.66 & 0.47 & 3.17 & 3.35 & 0.87 \\
\hline
Mean & 3.07 & 4.03 & 0.77 & 4.20 & 4.87 & 0.61 \\
Std. Dev. & 0.82 & 1.12 & 0.16 & 2.79 & 3.52 & 0.36 \\
\hline
\end{tabular}%
}

\end{table}

\begin{table}[htbp]
\centering
\caption{Predictive importance of clinical features for post-treatment VA in DIME using different feature selection methods. Features selected for the proposed approach are indicated in bold.}
\label{table:DIME_features}

\resizebox{\textwidth}{!}{%
\begin{tabular}{l S[table-format=1.4] S[table-format=2.4] S[table-format=1.4] S[table-format=1.4]}
\hline
\multirow{2}{*}{\textbf{Feature}} & \multicolumn{4}{c}{\textbf{Feature Selection Metrics}} \\
\cline{2-5}
& {\textbf{Pearson}} & {\textbf{F-test}} & {\textbf{Mutual}} & {\textbf{Random Forest}} \\
& {\textbf{Correlation}} & {\textbf{ANOVA}} & {\textbf{Information}} & {\textbf{Importance}} \\
\hline
\multicolumn{5}{l}{\textit{Primary Clinical Parameters}} \\
\textbf{Baseline VA (ETDRS)} & 0.5220 & 11.6093 & 0.2965 & 0.2625 \\
\textbf{Age (years)} & 0.3575 & 4.5426 & 0.0947 & 0.1370 \\
\textbf{DM duration (years)} & 0.2652 & 2.3445 & 0.3366 & 0.2519 \\
\addlinespace
\multicolumn{5}{l}{\textit{Anatomical Features}} \\
IRF Cysts & 0.3374 & 3.9822 & 0.1149 & 0.0322 \\
SRF Fluid & 0.2614 & 2.2739 & 0.0251 & 0.0143 \\
Deep Haemorrhages Within Macula & 0.1527 & 0.7396 & 0.0000 & 0.0200 \\
Exudates Within Macula & 0.1309 & 0.5404 & 0.0164 & 0.0115 \\
\addlinespace
\multicolumn{5}{l}{\textit{Morphometric Measurements}} \\
Baseline Macular Volume (mm\textsuperscript{3}) & 0.0705 & 0.1547 & 0.0565 & 0.1737 \\
Baseline CST (µm) & 0.0624 & 0.1210 & 0.0880 & 0.0875 \\
\addlinespace
\multicolumn{5}{l}{\textit{Demographic Factors}} \\
DM type & 0.1819 & 1.0611 & 0.0292 & 0.0023 \\
Gender & 0.1604 & 0.8186 & 0.0474 & 0.0070 \\
\hline
\end{tabular}%
}

\vspace{1mm}
\begin{minipage}{\linewidth}
\footnotesize
Note: SRF = Subretinal Fluid; CST = Central Subfield Thickness. Pearson correlation values represent the absolute correlation.
\end{minipage}
\end{table}

\begin{table}[htbp]
\centering
\caption{Predictive importance of clinical features for post-treatment VA in INDEX using different feature selection methods. Features selected for the proposed approach are indicated in bold.}
\label{table:INDEX_features}
\resizebox{\textwidth}{!}{%
\begin{tabular}{l S[table-format=1.4] S[table-format=2.4] S[table-format=1.4] S[table-format=1.4]}
\hline
\multirow{2}{*}{\textbf{Feature}} & \multicolumn{4}{c}{\textbf{Feature Selection Metrics}} \\
\cline{2-5}
& {\textbf{Pearson}} & {\textbf{F-test}} & {\textbf{Mutual}} & {\textbf{Random Forest}} \\
& {\textbf{Correlation}} & {\textbf{ANOVA}} & {\textbf{Information}} & {\textbf{Importance}} \\
\hline
\multicolumn{5}{l}{\textit{Primary Clinical Parameters}} \\
\textbf{Baseline VA (ETDRS)} & 0.5562 & 8.0615 & 0.4362 & 0.3483 \\
\textbf{DM duration (years)} & 0.3915 & 3.2587 & 0.1958 & 0.0978 \\
\addlinespace
\multicolumn{5}{l}{\textit{Systemic Comorbidities}} \\
Heart Disease (yes/no) & 0.5131 & 6.4323 & 0.1697 & 0.0669 \\
Amputation (yes/no) & 0.3410 & 2.3685 & 0.0000 & 0.0023 \\
Kidney Disease (yes/no) & 0.1037 & 0.1956 & 0.0000 & 0.0099 \\
Stroke (yes/no) & 0.0370 & 0.0247 & 0.0000 & 0.0033 \\
\addlinespace
\multicolumn{5}{l}{\textit{Treatment History}} \\
Baseline Nonresponder Ozurdex (yes/no) & 0.0688 & 0.0855 & 0.0000 & 0.0028 \\
DM Treatment (tablet/insulin/combination) & 0.3122 & 1.9445 & 0.1100 & 0.0453 \\
Baseline Previous Anti-VEGF Injections (n) & 0.2739 & 1.4599 & 0.0000 & 0.1071 \\
\addlinespace
\multicolumn{5}{l}{\textit{Clinical Measurements}} \\
Baseline IOP (mmHg) & 0.3471 & 2.4658 & 0.0864 & 0.0983 \\
Baseline CST (µm) & 0.0943 & 0.1616 & 0.2059 & 0.0394 \\
HbA1c (\%) & 0.0196 & 0.0069 & 0.0055 & 0.0772 \\
\addlinespace
\multicolumn{5}{l}{\textit{Demographic Factors}} \\
Age (years) & 0.3271 & 2.1568 & 0.0000 & 0.0549 \\
DM type & 0.1957 & 0.7170 & 0.0000 & 0.0024 \\
Gender & 0.3329 & 2.2432 & 0.0387 & 0.0179 \\
\hline
\end{tabular}%
}

\vspace{1mm}
\begin{minipage}{\linewidth}
\footnotesize
Note: CST = Central Subfield Thickness; HbA1c = Glycated Hemoglobin. Pearson correlation values represent the absolute correlation.
\end{minipage}
\end{table}
\end{document}