Therefore, in this study, regarding the missing parts of the existing machine learning model, namely lack of dose information and insufficient predictability (solubility, diffusion, and membrane permeability using only chemistry structure) in GUTFW, we propose a novel Fa prediction model that compensates for both aspects. Although this model does not require experimental data, it is expected to be accurate and extrapolative because it incorporates the mechanism of drug absorption as a concept. To assess and validate its performance, a 10-fold cross-validation (CV) procedure and test datasets were used.