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 killedby multiple drugs is a worry for the health of the public. research on special nps like silvernanoparticles (agnps) with stronger ability to kill microbes is growing as alternatives forantibiotics. in this research, machine learning (ml) models were presented that can predicthow well certain agnps can kill mdr bacteria. after making the data consistent andpreparing it, regression models were taught and their accuracy were checked using differentmeasurements of performance. finally, we did a significant evaluation to determine whichattributes are most important in predicting the outcome. the importance of certain factors indetermining how well agnps can kill bacteria was studied. the main factors were found tobe the core size, dls size, nps dose, and the type of bacterium being targeted.