*4.3. Perspective*

In a future study, we propose to validate a more significant number of metagenomes corresponding to the geographical area of influence, aiming to support the design of public policies related to the prevention and detection of infectious diseases. To corroborate the final results more accurately, other types of metrics, especially histograms, would be considered, taking advantage of the fact that they can be generated by the TensorBoard tool. Finally, we recommended to continue with the training process with other genes such as *TEM, SHV, metalloenzymes, carbapenemases*, so that this software can identify a higher number of infectious diseases with the same characteristics.

**Author Contributions:** Conceptualization: D.C., D.L.A., G.I. and C.D.F.; formal analysis: D.L.A., G.I.E., S.O.A. and C.D.F.; investigation: D.C.; methodology: D.C.; software: S.O.A., R.T.S. and C.D.F.; supervision: D.L.A. and G.I.; writing–original draft: D.C.; writing—review and editing: D.L.A., G.I., S.O.A. and C.D.F.

**Funding:** This research was funded by Universidad Autónoma de Manizales.

**Conflicts of Interest:** The authors declare no conflict of interest.
