Machine learning aids to predict the anti-MDR properties of AgNPs

Machine learning aids to predict the anti-MDR properties of AgNPs

The rise and quick spreading of Multi Drug Resistant (MDR) bacteria that cannot be killed by multiple drugs is a worry for the health of the public. Research on special NPs like silver nanoparticles (AgNPs) with stronger ability to kill microbes is growing as alternatives for antibiotics. In this research, Machine Learning (ML) models were presented that can predict how well certain AgNPs can kill MDR bacteria. After making the data consistent and preparing it, regression models were taught and their accuracy were checked using different measurements of performance. Finally, we did a significant evaluation to determine which attributes are most important in predicting the outcome. The importance of certain factors in determining how well AgNPs can kill bacteria was studied. The main factors were found to be the core size, DLS size, NPs dose, and the type of bacterium being targeted.