Valentin Marian Antohi, Romeo Victor Ionescu, Monica Laura Zlati, Cristian Mirica
Approaches related to the effects of Covid-19 pandemics on financing of the healthcare system in Romania
Frontiers in public health
machine learning ml offers potential opportunities enhance learning teaching assessments within veterinary medical education including limited assisting admissions processes well student progress evaluations purpose primer assist veterinary educators appraising potentially adopting rapid upcoming advances data science technology first section introduce ml concepts highlight similaritiesdifferences ml classical statistics second section provide stepbystep worked example using simulated veterinary student data answer hypothesisdriven question python syntax explanations provided within text create random forest ml prediction model model composed decision trees decision tree composed nodes leaves within step model creation specific considerations manage incomplete student records highlighted applying ml algorithms within veterinary education field results simulated data demonstrate decisions veterinary educator ml model creation may impact important features contributing model results highlight need veterinary educator fully transparent creation ml models future research needed establish guidelines handling data missing random medical education preferred methods model evaluation