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. 2022 Dec 18;14(12):2840. doi: 10.3390/pharmaceutics14122840

Table 3.

Parameters of the LPM estimated by direct fitting as well as predicted using the PL and ML models coupled to the LPM along with the associated statistics.

Runs Direct Fitting PL Prediction ML Prediction
Qgen (J/min) UA (J/min °C) LPM RMSE (°C) EBM RMSE (°C) 1 Qgen (J/min) UA (J/min °C) LPM RMSE (°C) EBM RMSE (°C) 1 Qgen (J/min) UA (J/min °C) LPM RMSE (°C) EBM RMSE (°C) 1
2500 0.45 400 1481 68 0.35 0.51 1634 78 0.74 0.93 1792 77 1.51 1.02
2500 0.55 400 2495 101 0.42 0.59 2118 91 1.49 1.02 2506 95 1.44 1.00
3500 0.45 400 4084 118 0.50 1.56 4519 137 1.56 2.22 4555 132 0.59 2.17
2500 0.55 400 5567 147 0.56 1.01 5856 160 1.02 1.17 5911 162 1.19 1.29
4200 0.35 100 3185 84 0.66 1.13 4180 129 4.13 4.17 4359 124 2.08 1.63

1 RMSE data were taken from Guner et al. 2022 [33] for comparison with the LPM.