## 4 Results
### Analytical Results  
In this subsection, the simulation of the proposed analytical problem illustrated in Section 3.4 is simulated using MATLAB. The parameters implemented in the simulation are stated in Table 6. Figure 12 shows the required smart monitoring device transmission power \(P_{Sreq}\) and the required gateway transmission power \(P_{Greq}\) with different values of interfering device transmission power. From Figure 12, it can be observed that the required transmission power during the uplink and downlink data transmission to achieve the best system QoS must increase when the interfering device transmission power increases. This is because increasing the interference power affects the received data and causes loss of information, which will be critical in some pregnant women's cases. Thus, increasing the transmission power during the uplink and downlink data transmission leads to overcoming the interference, thus helping the information reach the destination most efficiently and accurately. Figure 13 depicts the effect of the interfering transmission power on the overall system energy efficiency (EE). Five different scenarios have been assumed to determine the effect of the interfering devices' transmission power on the system performance. Figure 13a shows the effect of the interfering devices' transmission power when the transmission distance between the smart monitoring device and the gateway (\(d_{SG}\)) is 50 m and the transmission distance between the gateway and the medical reception (\(d_{GD}\)) is 50 m. Under this condition, it can be found that decreasing the interfering device transmission leads to a decrease in the system energy efficiency, and then, increases the system losses which leads to inefficiently receiving the information. Additionally, it can be mentioned from Figure 13b that when assuming that \(d_{SG}\) is 100 m and \(d_{GD}\) is 100 m the maximum EE can be achieved when the interfering device transmission power is 3 dBm either the received message will be lost or will be received with bad quality. Furthermore, when assuming that \(d_{SG}\) is 150 m or 200 m and \(d_{GD}\) is 150 m or 200 m as shown in Figure 13c,d the maximum EE can be reached when the interfering device transmission power is 11 dBm. Moreover, when \(d_{SG}\) is 250 m and \(d_{GD}\) is 250 m the required interfering device transmission power to reach the maximum EE will be 13 dBm. It can be concluded from this figure that decreasing the distance between any source and destination for reaching the maximum EE and ensuring \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt}} \hline \hline
**Parameter** & **Value** \\ \hline \(N_{o}\) & \(-174\) dB/m [29] \\ \hline B & \(10\) MHz [30] \\ \hline \(\xi_{UL}\) and \(\xi_{DL}\) & \(20\) dB [31] \\ \hline \(PL_{SG}\) & \(128.1+37.6 log_{10}(d_{SG})\)[32] \\ \hline \(PL_{IIG}\) & \(128.1+37.6 log_{10}(d_{IG})\)[32] \\ \hline \(PL_{GD}\) & \(148+40 log_{10}(d_{GD})\)[32] \\ \hline \(PL_{DjD}\) & \(148+40 log_{10}(d_{DjD})\)[32] \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Simulation parameters. \begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline  & **Accuracy** & **Precision** & **Recall** & **F1-Score** & **AUC** \\ \hline DT & 0.777 & 0.781 & 0.777 & 0.776 & 0.821 \\ \hline LR & 0.650 & 0.659 & 0.650 & 0.612 & 0.816 \\ \hline SVC & 0.655 & 0.68 & 0.655 & 0.622 & 0.812 \\ \hline MLP & 0.680 & 0.690 & 0.680 & 0.670 & 0.877 \\ \hline Proposed & 0.803 & 0.803 & 0.803 & 0.803 & 0.912 \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Different assessment results for various models on the patient dataset. that the system is reliably required decreases the interfering device transmission, this can be obtained by trying to disable any transmission devices existing in the same area o the smart monitor device or keeping the smart monitor devices far way from any interfering devices.