TY  - JOUR 
AU  - Barramuño, Mauricio
AU  - Meza Narváez, Claudia
AU  - Gálvez García, Germán
PY  - 2021
SN  - 2050-7003
UR  - http://hdl.handle.net/10366/157614
AB  - [EN]Purpose
The prediction of student attrition is critical to facilitate retention mechanisms. This study aims to focus on implementing a method to predict student attrition in the upper years of a physiotherapy...
LA  - eng
KW  - Student attrition
KW  - Supervised machine learning
KW  - Data classification
KW  - University student
TI  - Prediction of student attrition risk using machine learning
DO  - 10.1108/JARHE-02-2021-0073
T2  - Journal of Applied Research in Higher Education
VL  - 14
M2  - 974
ER  -