## 3 Results
### Results Verification and Performance Analysis  
Table 2 shows some of the variables selected with the highest correlation concerning myocardial infarction. Table 3 shows the variables with the highest correlation for angina pectoris.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Variable** & **Correlation** & \(\mathbf{p}\)**Value** \\ \hline Angina pectoris & 0.70 & \(6.650\times 10^{-89}\) \\ Major ECG abnormalities & 0.40 & \(1.674\times 10^{-80}\) \\ Coronary artery bypass & 0.30 & \(5.973\times 10^{-58}\) \\ Medications: nitrates & 0.30 & \(3.653\times 10^{-50}\) \\ Chest pain & 0.29 & \(2.891\times 10^{-40}\) \\ Q-wave, ST-T ECG abnormalities & 0.28 & \(4.354\times 10^{-46}\) \\ Calcium-blocking drugs & 0.26 & \(3.653\times 10^{-52}\) \\ Coronary artery angioplasty & 0.25 & \(5.773\times 10^{-44}\) \\ General health & 0.20 & \(4.755\times 10^{-48}\) \\ Heart failure & 0.20 & \(3.387\times 10^{-37}\) \\ Claudication & 0.18 & \(2.987\times 10^{-40}\) \\ IL-6 (pg/mL) & 0.17 & \(2.846\times 10^{-35}\) \\ Gender & 0.16 & \(1.847\times 10^{-29}\) \\ Circulation problems & 0.16 & \(1.774\times 10^{-24}\) \\ \hline \hline \end{tabular}
\end{table}
Table 2: Spearman correlations corresponding to the myocardial infarction event.  
\begin{table}
\begin{tabular}{c c c} \hline \hline
**Variable** & **Correlation** & \(\mathbf{p}\)**Value** \\ \hline Myocardial infarction & 0.80 & \(6.650\times 10^{-98}\) \\ Coronary heart disease & 0.70 & \(4.456\times 10^{-91}\) \\ Medications: nitrates & 0.65 & \(2.210\times 10^{-89}\) \\ Chest pain & 0.51 & \(3.365\times 10^{-75}\) \\ Calcium channel blocker medication & 0.48 & \(2.767\times 10^{-80}\) \\ Coronary artery bypass & 0.47 & \(1.089\times 10^{-84}\) \\ Major ECG abnormalities & 0.45 & \(4.673\times 10^{-68}\) \\ General health & 0.44 & \(4.021\times 10^{-70}\) \\ Coronary artery angioplasty & 0.43 & \(2.441\times 10^{-61}\) \\ Atrial fibrillation & 0.34 & \(5.014\times 10^{-47}\) \\ Claudication & 0.28 & \(1.196\times 10^{-53}\) \\ Medications: beta-blockers & 0.29 & \(1.397\times 10^{-49}\) \\ Fatigue & 0.25 & \(1.218\times 10^{-39}\) \\ \hline \hline \end{tabular}
\end{table}
Table 3: Spearman correlations corresponding to the angina pectoris event.  
From the results shown in Tables 3 and 4, it can be concluded that both events in the database are correlated. In both cases, variables with high correlations are repeated, such as coronary artery bypass grafting, coronary artery angioplasty, general health, claudication, nitrates, chest pain, and ECG abnormalities. In addition, it can be seen that the variable with the highest correlation for myocardial infarction is angina. In contrast, myocardial infarction is the variable with the highest correlation for angina pectoris. This correlation event is repeated for other events analyzed in the database, such as stroke and heart failure. In addition, myocardial infarction and angina pectoris are two events that have a high effect on mortality risk, especially in older adults, so considering variables such as those shown in Tables 3 and 4 is essential for predicting mortality. Finally, the \(p\) values obtained for both events are tiny numbers close to zero; given a significance level of 0.05, it can be concluded that the correlation values obtained are statistically significant.