Artificial intelligence supported professional prediction of Physical Activity Counseling Practices Scale in health professionals with a machine learning algorithm

PACPS responses contain distinctive patterns that enable moderate occupation prediction, with SVM and KNN yielding the best generalization in this small-sample setting. These results support the feasibility of combining a clinically grounded scale with machine learning methods, while underscoring the need for larger and externally validated datasets before clinical implementation.