Suzanne Caliph, Angelina S Lim, Nilushi Karunaratne
A comparison of the academic performance of graduate entry and undergraduate entry pharmacy students at the course exit level
Currents in pharmacy teaching & learning
machine learning approaches increasingly adopted data analysis tools scientific behavioral predictions paper utilizes machine learning approach random forest model determine top prediction variables food safety behavioral changes pandemic data collected among us consumers risk perception covid19 foodborne illness fbi food safety practice behaviors demographics online surveys ten different time points april 2020 may 2021 post pandemic may 2022 random forest model used predict 14 food safetyrelated behaviors models predicting handwashing cooking handwashing eating good performance f1 score 093 088 respectively attitudes related variables determined important predicting food safety behaviors importance ranking predicting variables found changing time